Chai Time Data Science

Chai Time Data Science

By Sanyam Bhutani
Chai Time Data Science show is a Podcast + Video + Blog based show for interviews with Practitioners, Kagglers & Researchers and all things Data Science This is also a “re-start” or continuation of the “Interview with Machine Learning Heroes Series” by Sanyam Bhutani.
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Suzana Ilić | Democratising AI w Communities | Machine Learning Tokyo | Inclusivity in AI

Chai Time Data Science

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Birthday Special AMA: Answering Questions from my ML Heroes | CTDS.News Launch
Check out the CTDS.News Teaser, live now: http://ctds.news Blog for this video and news launch will go live here: https://medium.com/@init_27 This is a special birthday AMA episode, hope you enjoy this one. Feel free to AMA in the comments below. I'm really thankful to everyone that sent their questions and wishes and agreed to this idea. Thank you! Follow: Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd Note: The giveaway isn't sponsored, I really enjoyed the book and want to share it with another learner who might. #Birthday #AMA #ML
1:06:24
May 27, 2020
Emmanuel Ameisen | Building Machine Learning Powered Apps
Link to tweet for details on Giveaway: https://twitter.com/bhutanisanyam1/status/1264589958146174976?s=20 Video Version: https://youtu.be/ctss0hcD9SE Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Emmanuel Ameisen, ML engineer at Stripe, and the author of the O'Reilly book: "Building Machine Learning Powered Applications: Going from idea to product" In this interview they talk about Emmanuel's journey into machine learning, and how his journey through the different roles led him to writing the book. The book is one of the greatest resources for the title for Building ML Apps, and also one of the greatest top down learning books that follow the top down teaching approach. They talk about who the book is a really for, what can you expect out of it and Emanuel's journey of writing to Book and where to go after you've read the book, How do you find your idea to take to project your passion project or your million dollar app idea. Links: Book: https://www.amazon.com/Building-Machine-Learning-Powered-Applications/dp/149204511X/ http://shop.oreilly.com/product/0636920215912.do Radek's blog: https://medium.com/@radekosmulski Follow: Emmanuel Ameisen: https://twitter.com/mlpowered https://mlpowered.com Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd Note: The giveaway isn't sponsored, I really enjoyed the book and want to share it with another learner who might.
58:07
May 24, 2020
Eli Stevens, Luca Antiga, and Thomas Viehmann | Deep Learning with PyTorch
Link to tweet for details on Giveaway: https://twitter.com/bhutanisanyam1/status/1263500914427494400?s=20 Discount code: "PodChai20" Video Version: https://youtu.be/f5Qv3eSZpug Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews three great contributors to PyTorch: Eli Stevens, Luca Antiga, and Thomas Viehmann. The three are also authors of an upcoming book by Manning Publications: Deep learning with Pytorch In this interview, they talk about the authors' journey into machine learning and the journey with Pytorch towards the efforts into writing the book. They also discuss the book writing efforts, the authors share what can one expect from the book and what are you expected to have prepared before learning from the book and what can you take away from it. There is also a lot of great advice around project building, which is, is one of the essence to getting your break into the field. Links: Link to the book: https://www.manning.com/books/deep-learning-with-pytorch PyTorch: https://pytorch.org Follow: Eli Stevens: https://www.linkedin.com/in/eli0stevens/ Luca Antiga: https://twitter.com/lantiga?lang=en https://lantiga.github.io Thomas Viehmann: https://twitter.com/thomasviehmann http://thomas.viehmann.net Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd Note: Thanks to Manning Publication for doing the giveaway, note that manning hasn't sponsored the video in anyway, I'm a huge fan of their book and I'm grateful that they're doing a special giveaway + discount for the CTDS.Show audience #MachineLearning #PyTorch #Book
1:17:42
May 22, 2020
Goku Mohandas | MadeWithML | AI Research | Healthcare | Education
Video Version: https://youtu.be/VqysJmIqko8 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Goku Mohandas. They dive into the three aspects on Goku's personal profile: AI research. Health Care and Education They start by talking about Goku's journey into research how he got interested into machine learning. He shares many amazing advices for future aspiring researchers, followed by healthcare and machine learning. Education: Goku has recently started madewithmachinelearning.com his latest contribution to education machine learning education, Made with ML is a platform for discovering projects. organising projects and building projects, sharing them with the community. We really dive deep into what the platform is the philosophy behind it, and the future of it, and many upcoming features. Most of these would have been integrated by the time this interview goes out. So please do sign up if you get a chance. Personal Note: I really enjoyed talking with Goku, all of the interaction on all of the topics had really interesting golden nuggets. Follow: Goku Mohandas: https://twitter.com/GokuMohandas https://madewithml.com https://goku.me Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:35:28
May 22, 2020
Dmitry Danevskiy | Google Quest Q&A Labelling Comp: Winning Sol | Becoming Kaggle Grandmaster
Video version: https://youtu.be/pQL892iT-dM Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Kaggle Grandmaster Dmitry Danevskiy. Dmitry's team whose team at the time of recording had just finished first on the Google quest q&a labeling Kaggle competition. With that gold medal Dmitry just achieved the title of becoming a Grand Master in the competition tier. They speak about his journey on Kaggle and into data science on this episode along with their first position solution to the Google quest competition. Dmitry is currently working as a machine learning specialist or machine learning research engineer they also discuss about his work, how Kaggle has impacted his work and his take on where does Kaggle help you in data science? Links: Winning sol writeup: https://www.kaggle.com/c/google-quest-challenge/discussion/129840 Comp: https://www.kaggle.com/c/google-quest-challenge/overview Interview with Yury about mlcourse: https://www.youtube.com/watch?v=guvFOjxdeeA Follow: Dmytro Danevskyi: https://twitter.com/DanevskiyD https://www.linkedin.com/in/dmitry-danevskiy/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
33:36
May 14, 2020
Hamel Husain | Fastpages, Open Source | ML at Github | fastai
Video Version: https://youtu.be/-pYMXSThpvc Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews, Hamel Husain, who's currently a staff ML engineer at GitHub. They talk all about the open source world and his life behind the open source world at GitHub, the projects that he's been working on and his journey into the field of machine learning: his research ideas and the projects that he's been working on at GitHub. They also talk about fast AI, his journey with fast ai, and his best advice is to student along with his recent project, so to speak, fast pages, which is one of the best ways to get started with blogging. This interview has many hidden advices around open source and fast a or even data science so to speak. Links: fast.ai: https://course.fast.ai Fastpages: https://github.com/fastai/fastpages http://hamel.io Semantic Code Search: https://medium.com/@hamelhusain/semantic-code-search-3cd6d244a39c Follow: Hamel Husain: https://twitter.com/HamelHusain http://hamel.io Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
49:33
May 10, 2020
Robert Bracco | Learning to Learn | Approaching Fast.ai Materials, Kaggle & Blogging
Video version: https://youtu.be/CYYvQ-5V3xA Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Robert Bracco and Sanyam Bhutani are in conversation where they discuss their approach learning to learn, as you might imagine, they talk a lot about the fast AI courses and how their approach to learning to learning has evolved as we have approved the materials. Robert has been working on the fast.ai, the fast AI audio module, the unofficial audio module, and Sanyam discuss his his journey in that direction, how have his learnings evolved? Links: Previous Interview: https://www.youtube.com/watch?v=k-gZAyg5ib8 fast.ai courses: https://course.fast.ai Follow: Robbert Bracco: https://twitter.com/madeupmasters Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:58:15
May 7, 2020
Pablo Samuel Castro | ML Research, Google Brain & Creative AI | Learning ML w the community | LatinX
Video Version: https://youtu.be/muiM5SQxTIA Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dr. Pablo Samuel Castro, who's currently a staff research software developer at Google and is working with the Google brain team in Montreal with a focus on reinforcement learning and machine learning applied to music and creativity. They talk all about these themes in this interview reinforcement learning and using AI in creative domains. Pablo is a musician himself and they discuss his overview on using AI to replace or enhance human creativity in domains outside of technical focus. They also discuss how does Pablo approach research problems his take on research and and his pipeline, or approach to working on new problems: Personal Note: This interview definitely has a lot of interesting pieces of advice around approaching research problems IMO & I hope you find it fascinating. Follow: PSC: https://twitter.com/pcastr https://www.linkedin.com/in/pablo-samuel-castro-2113641b Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
59:17
May 3, 2020
Daniel Bourke | Learning to Learn | Creating AI Content | Fitness & Machine Learning
Video Version: https://youtu.be/r5_SuLF5UWY Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Daniel Bourke who has had a very interesting journey into the field: he created his own AI curriculum that he followed very rigorously, religiously and with a lot of discipline. Daniel has also been running a YouTube channel where he's been posting about his journey of doing online courses. We talk all about his wonderful journey, how he kept the discipline that he required to throughout this why throughout this period, and why did he decide to create content. We also talk about one very important thing, nutrition, fitness and health. Daniel is an expert on this, if I may, we he shares his advice on how to balance this lifestyle of being ambitious and machine learning machine learning, pushing your goals becoming a better machine learning practitioner or a data scientist while also taking care of your health. Follow: Daniel Bourke: https://twitter.com/mrdbourke Blog: https://www.mrdbourke.com YT: https://www.youtube.com/channel/UCr8O8l5cCX85Oem1d18EezQ https://www.mrdbourke.com/mlcourse/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:33:11
April 30, 2020
Interview w Ines Montani | Spacy, NLP & Open Source Frameworks | Explosion.ai, Thinc.ai & Prodi.gy
Video Version: https://youtu.be/C5DGFSDlMBM Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews a machine learning hero who's been inspiring and empowering many, many future heroes through their open source work: Ines Montani, co founder of explosion, the company behind spacy, prodigy and thinc.ai. They talk about all of the amazing work that is, and the team at explosion has been doing, her journey into the field of programming her journey into the field of NLP and her journey at explosion. They talk about all these things, all these three things along with all of the amazing work that Explosion has been putting out. Yes, Spacy, prodigy and thinc.ai, thinc,ai is the latest framework that has been put out along with open source development and the NLP industry. Personal Note: Yes, those are a lot of things that have been All (Luckily for us), been covered in this single podcast! This has been a treat for me & I hope you enjoy it as much as I did. Links: https://explosion.ai/about https://spacy.io https://prodi.gy https://thinc.ai Follow: Ines Montani: https://twitter.com/_inesmontani https://www.linkedin.com/in/inesmontani/ https://ines.io Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
51:56
April 26, 2020
Suzana Ilić | Democratising AI w Communities | Machine Learning Tokyo | Inclusivity in AI
Video Version: https://youtu.be/TzgHNJN8D3I Subscribe to the newsletter for updates: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Suzana Ilić who's currently a PhD student in the domain of NLP and also the co founder and director of Machine Learning Tokyo. In this interview they discuss about Suzana's journey into machine learning and how she discovered her passion for machine learning and NLP. They also discuss all about her efforts to democratize AI through her awesome community efforts & about Machine Learning Tokyo community. How community building can help you take away many skill sets or personal growth aspects: Suzana shares her journey as the co founder of Machine Learning Tokyo. They discuss an important topic, about inclusivity in AI in community. Fostering an environment that encourages beginners while also being inclusive to a huge extent. Machine learning Tokyo has been a platform for open science, open education and open project development discuss about all of these three aspects including the projects, research, and education that has come out of it. Follow: Suzana Ilić: https://twitter.com/suzatweet https://www.linkedin.com/in/suzanailic/ https://github.com/suzana-ilic Machine Learning Tokyo: https://www.meetup.com/Machine-Learning-Tokyo/ https://mltokyo.ai https://github.com/Machine-Learning-Tokyo Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
36:30
April 23, 2020
CEO of Decision.ai: Dan Becker | What does it take to become a Data Scientist? | Kaggle Learn & Data Science Portfolio
Video Version: https://youtu.be/eEYvgsUeEgw Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews founder and CEO at decision.ai: Dan Becker, you might know Dan as the creator of Kaggle learn where he enabled, or actually democratised a lot of machine learning courses that he created on kaggle.com/learn. In this episode, they talk all about Dan's journey into the field. Dan's work at Kaggle, where he created Kaggle learn. They talk a lot about MOOCs: open online courses. What does it take to become a data scientist? And how can MOOCs come into the picture for you? How can you think of ideas or projects that can help you build a portfolio? They also talk about Dan's new venture: decision.ai, which he's just recently started, Dan already has been a contributor to Keras and TensorFlow and has done projects, consulting projects for six companies in the Fortune 100 list of companies. They of course, talk about how that was helpful in Dan's new journey. Links: https://decision.ai/example https://decision.ai https://www.kaggle.com/learn/overview Follow: Dan Becker: dan@decision.ai https://www.linkedin.com/in/dansbecker/ https://twitter.com/dan_s_becker https://www.kaggle.com/dansbecker Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
56:12
April 19, 2020
Interview w Mark Landry | Data Science, Kaggle, H2O.ai | AutoML
Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience In this episode, Sanyam Bhutani interviews legendary Kaggle GrandMaster: Mark Landry. They talk all about Mark's journey into machine learning: How he got interested in machine learning? How did he discover Kaggle? His addiction for Kaggle? How his approach on Kaggle has evolved over all of these years that he's been active on the platform? They talked about his journey at h2o: he's been at h2o.ai for a few years now. They also talk about auto ML, we reveal interesting story: AutoML at h2o.ai was originally called AutoMarkLandry. And there's a lot of discussion around data science on and off Kaggle, how to approach Kaggle or data science problems. This one is all about data science, Kaggle, and h2o.ai but it's true to the three words, they talk all about these three words and Mark's journey in all of these three. Follow: Mark Landry: https://twitter.com/mark_a_landry https://www.linkedin.com/in/mark-landry-78b863a/ https://www.kaggle.com/mlandry Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd
1:03:49
April 16, 2020
Interview with Dmytro Mushkin | Computer Vision Research | Kaggle, ML & Education
Video Version: https://youtu.be/lWwkbiufwNE Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dmytro Mushkin, who's currently a computer vision researcher and PhD student at the Czech Technical University in Prague. They talk all about Dmytro, his journey into deep learning and his journey into research. Dmytro has put out some amazing research work over the past few years, and they talk about how he approaches research in general, his take on research and his suggestion to future aspiring researchers. Dymtro is an active Kaggler and he has accomplished amazing results on many competitions/ This interview covers a lot of ideas around education, research, and practice. Follow: Dmytro Mushkin: https://twitter.com/ducha_aiki http://cmp.felk.cvut.cz/~mishkdmy/ https://www.kaggle.com/oldufo Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
52:40
April 12, 2020
SharpestMinds Team on Learning to Learn | Data Science, Startups & Hiring
Video available here: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this special version of the podcast, Sanyam Bhutani is in conversation with the complete SharpestMinds team: Edouard Harris, Russell Pollari and Jeremie Harris. They talk a lot about learning to learn. The theme, broadly speaking, learning to learn applied to the business, the startup and the data science world. They discuss multiple ideas of how to get a break into the data science field, how should you go about learning. How should you go about putting projects on your resume of what projects to put on your resume and when you really know that you're ready for a job? Links: Interview with Ed: https://www.youtube.com/watch?v=69urmSt34Ac SharpestMinds: https://www.sharpestminds.com https://twitter.com/sharpestmindsai?lang=en https://www.linkedin.com/company/sharpestminds/ Follow: Edouard Harris: https://twitter.com/neutronsNeurons https://medium.com/@edouard_harris Russell Pollari: https://twitter.com/russ_poll https://www.linkedin.com/in/russell-pollari-b555895a https://russellpollari.com Jeremie Harris: https://twitter.com/jeremiecharris https://www.linkedin.com/in/jeremieharris https://medium.com/@jeremie_sharpestminds Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:07:08
April 9, 2020
Interview w Sylvain Gugger | fast.ai: The new Framework & course | FastBook & Research at fast.ai
Previous Interview: https://hackernoon.com/interview-with-deep-learning-researcher-at-fast-ai-sylvain-gugger-7cb08fe2ff53 Video available here: https://youtu.be/-3fw9hxiop0 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews another hero from the fastai family: Sylvain who's a research scientist at fast.ai In this interview they talk about a lot of exciting, upcoming developments from the fast.ai research lab, the framework, the book and the upcoming course. The upcoming course will be released along with the book and the library as a MOOC later, around the middle of this year. They discuss about what we can expect from the library, the course and the book. The efforts go into these and what topics is the book and the course going to cover is the newer version. Links: Fast.ai Course: https://course.fast.ai https://twitter.com/fastdotai Book: http://shop.oreilly.com/product/0636920216391.do https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527 Interview with Jeremy Howard: https://www.youtube.com/watch?v=205j37G1cxw Follow: Sylvain Gugger: https://twitter.com/guggersylvain https://sgugger.github.io/pages/about-me.html Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
34:01
April 5, 2020
Interview w Erin LeDell | H2O-AutoML & H2O.ai | Open Source | RLadies & WiMLDS Community
Note: Correction from the intro: Erin is the *co-founder* of R-Ladies Global & Founder of WiMLDS. Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x In this episode, Sanyam Bhutani interviews one of the inspirations for the complete Machine Learning Community: Dr. Erin Ledell, chief machine learning scientist at H2O.ai. Erin holds a PhD from UC Berkeley where her research was focused on machine learning and computational stats, and she has worked in the software industry before joining H2O. They talk all about her journey into the field into starts machine learning and her journey at H2O along with h2o's open source products, h2o-auto ML. Erin clarifies the question of the difference between h2o, h2o-3 and h2o auto ML, so please stay tuned if you're curious to find out the answer to that. They discuss about her work at h2o.ai and Erin shares many great advisors and opinions about auto ML and software or software tools for data scientists or humans generally speaking, Erin is the (co)-founder of Rladies and women in machine learning and data science. They talk about her contributions to the community and how can outsiders or just newcomers contribute to this. Links: http://wimlds.org https://rladies.org H2O: https://www.h2o.ai H2O Tutorials: http://docs.h2o.ai/h2o-tutorials/latest-stable/ https://github.com/h2oai/h2o-3 Follow: Erin LeDell: https://twitter.com/ledell https://www.linkedin.com/in/erin-ledell/ https://github.com/ledell Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd
57:04
April 2, 2020
Interview with Russ Wolfinger | Statistics, Data Science & Kaggle | NFL Big Data Bowl #14 Pos Sol
Video available here: https://youtu.be/akYeBUTXmT4 Subscribe to the newsletter for updates: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dr. Russ Wolfinger, Director of scientific discovery and genomics at SAS, a department which he had started. In this interview, they talk all about his journey into the field, how his Stats and software development evolved over the years. Russ is also kaggle Grandmaster in the competition tier. They talk a lot about kaggle. His approach to kaggle his his viewpoints on kaggle, and best advice is to new big new joiners/beginners. This interview is an amazing intersection of statistics, data science and data science applied to kaggle and the real world. We also talk a lot about kaggle as a platform for learning data science and applying your skills how to get better at kaggle and data science broadly speaking. So thank you to Russ for sharing all of those amazing advises! Follow: Dr. Russ Wolfinger: https://www.linkedin.com/in/russ-wolfinger-5ab7999/ https://www.kaggle.com/sasrdw Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:14:17
March 29, 2020
Interview with Sergey Kolesnikov | Catalyst: PyTorch Framework for DL & RL | Open Source, Soft. Engg & Community
Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience Subscribe to the newsletter for updates: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews a researcher, practitioner and open source contributor: Sergey Kolesnikov, creator of catalyst, which is a deep learning and reinforcement learning framework based on Pytorch. In this interview, they talk all about Sergey's journey into the field of machine learning and reinforcement learning. His thoughts about open source development and the story of catalyst, how the development of catalyst started the story behind it, and its current features, the ecosystem. And what all can it support. They also talk a lot about the community in machine learning open data science community as well. Sergey shares many great advices about software engineering and open source development as well. Follow: Sergey Kolesnikov https://twitter.com/scitator?lang=en https://t.co/ahXByAInFI?amp=1 Catalyst: https://twitter.com/catalyst_core https://github.com/catalyst-team/catalyst Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:14:44
March 26, 2020
Interview with "Inversion": Walter Reade | Data Science at Kaggle | Becoming a Data Scientist & Kaggle Grandmaster
Video available here: https://youtu.be/OoB_LQpgDCk Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews a data scientist, but from the other side of the world, a data scientist at Kaggle, Walter Reade, also known as "Inversion" famously on Kaggle. Walter, was the first Kaggle discussions Grand Master. In this interview, they talk all about his journey into data science and on Kaggle how his journey into data science started via Kaggle. Walter holds a PhD in chemical engineering. This interview also talks a lot about the science in data science, how Walter has approached problems over the years. And also what does data science on the other side of Kaggle. Personal Note: I feel this is a very special interview in the sense that this time it's a Kaggle Grand Master that is a part of Kaggle's team. Follow: Walter Reade: https://twitter.com/walterreade https://www.linkedin.com/in/reade/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
45:43
March 22, 2020
Interview with Parul Pandey | Getting Started with Data Science & Blogging | Women in Data Science
Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x In this episode, Sanyam Bhutani interviews Parul Pandey, data evangelist at h2o.ai and they talk all about what her role as a data evangelist means and her work at h2o. Personal Note: I've been a fan of her blog posts. And this podcast is all about her secrets to blogging along with all of the amazing things that she's been contributing to including meetups evangelising, or sharing amazing things on LinkedIn and Twitter. They discuss all about her journey into the field. Her advices to future aspirants. Parul is a great contributor to the women in Data Science community, and they discuss about WiDS and how can others who recognize the community, contribute towards it. Follow: Parul Pandey: https://www.linkedin.com/in/parulpandeyindia/?originalSubdomain=in https://twitter.com/pandeyparul https://t.co/qyR0tpZVnA?amp=1 WiDS Hyderabad: https://twitter.com/WiMLDS_HYD Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd
59:26
March 19, 2020
Interview with ChristOf Henkel | Google Quest Q&A Labelling Comp 2nd Pos Sol | Rapids.ai & Kaggle
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Kaggle Grandmaster, "Dieter": Christof Henkel. They talk a lot about his previous assumed life of having worked as a construction worker, about Christof's Kaggle experience how he got interested in Kaggle, his Kaggle journey, his Kaggle pipeline, and his recent second position solution to Google's quest competition. They also discuss Christof's new job at rapids.ai where he's just joined as a senior deep learning data scientist. Links: https://rapids.ai https://github.com/rapidsai https://www.kaggle.com/c/google-quest-challenge/discussion/129978 Referenced Interviews: The Zoo: https://youtu.be/_Srv0bKmfjY Even Oldridge: https://youtu.be/-WzXIV8P_Jk Follow: Christof Henkel: https://twitter.com/kagglingdieter https://www.linkedin.com/in/dr-christof-henkel-766a54ba/ https://www.kaggle.com/christofhenkel Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
52:57
March 15, 2020
Interview w John Miller | NFL 1st and Future: Analytics Winning Sol | "Real World Data Sci" & Kaggle
Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x In this episode, Sanyam Bhutani interviews Kaggle Master & Senior Data Scientist: John Miller John Miller is one of the peoples similar from the league of guests on the show who started working in data science, even before it was called data science. And in this interview, they talk about his journey and how data science and his work has evolved. Over the years, John has contributed to different roles. And they talk about all of them, including his current work at h2o.ai. They also discussed his winning solution to the NFL first and future analytics Kaggle competition, where John had even created a real world impact via Kaggle competition, yes, via Kaggle competition even in the previous year where he had won the competition and his findings led to the change of a rule. Similar to last year, John has again won the competition this year as well. And they talked about his findings about the NFL and his discoveries while working on the competition. Links: https://www.kaggle.com/jpmiller/nfl-1standfuture-report https://www.linkedin.com/pulse/would-your-machine-learning-model-hold-up-court-john-miller/ https://www.kaggle.com/c/nfl-playing-surface-analytics/discussion/126164 https://www.kaggle.com/c/nfl-playing-surface-analytics/discussion/125977 Follow: John Miller: https://twitter.com/johnmillertx https://www.linkedin.com/in/johnmiller/ https://www.kaggle.com/jpmiller Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd
48:53
March 12, 2020
Interview with Tarin Clanuwat | Classical Japanese Literature & ML | Kuzushiji recognition kaggle comp
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dr. Tarin Clanuwat, who's currently an assistant professor at the National Institute of Informatics in Japan. Tarin holds a PhD in Japanese literature and has followed-a traditional path in classical Japanese literature. Tarin has been doing some amazing research around Japanese literature including her work on Kuzushiji, they talk all about her background, her journey in classical literature and her journey in machine learning and her current research which is in the intersection of both. Links: https://www.youtube.com/watch?v=maR9ibJ2r7g https://www.kaggle.com/c/kuzushiji-recognition https://scholar.google.com/citations?user=oGpFVUUAAAAJ&hl=en Follow: Tarin: https://twitter.com/tkasasagi/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
36:02
March 8, 2020
02: fast.ai Lesson-2 Production & SGD From Scratch | fast.ai 2019 & Things Jeremy Howard says to do
This episode reviews lesson 2 from fast.ai Part 1, 2019 and the Things Jeremy says to do About: The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format. Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format. Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course. Links: Take the course here: https://course.fast.ai Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682 Follow: fast.ai: http://twitter.com/fastdotai Jeremy Howard: http://twitter.com/jeremyphoward Robbert Bracco: https://twitter.com/MadeUpMasters Sanyam Bhutani: http://twitter.com/bhutanisanyam1
05:16
March 7, 2020
04: fast.ai Lesson-4 NLP:Tabular Data; Recsys | fast.ai 2019 & Things Jeremy Howard says to do
This episode reviews Lesson 4 from fast.ai Part 1, 2019 and the Things Jeremy says to do About: The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format. Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format. Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course. Links: Take the course here: https://course.fast.ai Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682 Follow: fast.ai: http://twitter.com/fastdotai Jeremy Howard: http://twitter.com/jeremyphoward Robbert Bracco: https://twitter.com/MadeUpMasters Sanyam Bhutani: http://twitter.com/bhutanisanyam1
04:41
March 7, 2020
00 fast.ai 2019 Summaries & Things Jeremy Howard says to do
This episode is an introduction to the Mini-Chai Time Data Science series, about fast.ai summaries from Part 1, 2019 and a collection of things Jeremy Howard says to do. About: The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format. Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format. Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course. Links: Take the course here: https://course.fast.ai Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682 Follow: fast.ai: http://twitter.com/fastdotai Jeremy Howard: http://twitter.com/jeremyphoward Robbert Bracco: https://twitter.com/MadeUpMasters Sanyam Bhutani: http://twitter.com/bhutanisanyam1
10:24
March 7, 2020
07: fast.ai Lesson-7 ResNet; U-Net; GANs | fast.ai 2019 & Things Jeremy Howard says to do
This episode reviews Lesson 7 from fast.ai Part 1, 2019 and the Things Jeremy says to do About: The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format. Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format. Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course. Links: Take the course here: https://course.fast.ai Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682 Follow: fast.ai: http://twitter.com/fastdotai Jeremy Howard: http://twitter.com/jeremyphoward Robbert Bracco: https://twitter.com/MadeUpMasters Sanyam Bhutani: http://twitter.com/bhutanisanyam1
07:47
March 7, 2020
05: fast.ai Lesson 5: Backprop; Neural Nets from scratch | fast.ai 2019 & Things Jeremy Howard says to do
This episode reviews Lesson 5 from fast.ai Part 1, 2019 and the Things Jeremy says to do About: The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format. Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format. Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course. Links: Take the course here: https://course.fast.ai Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682 Follow: fast.ai: http://twitter.com/fastdotai Jeremy Howard: http://twitter.com/jeremyphoward Robbert Bracco: https://twitter.com/MadeUpMasters Sanyam Bhutani: http://twitter.com/bhutanisanyam1
05:11
March 7, 2020
06: fast.ai Lesson-6 CNN Deep Dive; Ethics | fast.ai 2019 & Things Jeremy Howard says to do
This episode reviews Lesson 6 from fast.ai Part 1, 2019 and the Things Jeremy says to do About: The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format. Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format. Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course. Links: Take the course here: https://course.fast.ai Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682 Follow: fast.ai: http://twitter.com/fastdotai Jeremy Howard: http://twitter.com/jeremyphoward Robbert Bracco: https://twitter.com/MadeUpMasters Sanyam Bhutani: http://twitter.com/bhutanisanyam1
06:52
March 7, 2020
03: fast.ai Lesson-3 Multi-label; SGD from scratch | fast.ai 2019 & Things Jeremy Howard says to do
This episode reviews Lesson 3 from fast.ai Part 1, 2019 and the Things Jeremy says to do About: The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format. Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format. Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course. Links: Take the course here: https://course.fast.ai Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682 Follow: fast.ai: http://twitter.com/fastdotai Jeremy Howard: http://twitter.com/jeremyphoward Robbert Bracco: https://twitter.com/MadeUpMasters Sanyam Bhutani: http://twitter.com/bhutanisanyam1
05:32
March 7, 2020
01 fast.ai Lesson-1 Image Classification | fast.ai 2019 & Things Jeremy Howard says to do
This episode summarises Lesson 1: Image Classification from fast.ai Part-1 along with the things Jeremy says to do. About: The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format. Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format. Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course. Links: Take the course here: https://course.fast.ai Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682 Follow: fast.ai: http://twitter.com/fastdotai Jeremy Howard: http://twitter.com/jeremyphoward Robbert Bracco: https://twitter.com/MadeUpMasters Sanyam Bhutani: http://twitter.com/bhutanisanyam1
05:40
March 7, 2020
08: Where to go from here, General fast.ai advice
This episode reviews Lesson 8 from fast.ai Part 1, 2019 and the Things Jeremy says to do About: The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format. Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format. Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course. Links: Take the course here: https://course.fast.ai Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682 Follow: fast.ai: http://twitter.com/fastdotai Jeremy Howard: http://twitter.com/jeremyphoward Robbert Bracco: https://twitter.com/MadeUpMasters Sanyam Bhutani: http://twitter.com/bhutanisanyam1
10:04
March 7, 2020
Interview with Marios Michailidis | What does it take to become #1 on Kaggle | DSB 2019, 14th Pos Sol
Previous Interview Link: https://sanyambhutani.com/interview-with-kaggle-competitions-grandmaster--kazanova--rank--3---dr--marios-michailidis/ Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x In this episode, Sanyam Bhutani interviews Kaggle Legend, GM: Marios where they continue talking a lot about Kaggle and how Kaggle has helped Marios in his data science journey, and his data science work at H2O.ai, all about the projects where he is contributing to. They also discuss his recent gold winning solution to the data science bowl 2019 competition, the approaches shared by Marios are applied, even generally, outside of that competition. They also touch upon a very important topic that isn't discussed as much on this podcast, the personal side of things, and the personal sacrifices it takes to really become the best become the best in the world become the best on Kaggle, like the sacrifices it took Marios to become number one on Kaggle both in competitions and discussions. Links: Solution by Marios' team: https://www.kaggle.com/c/data-science-bowl-2019/discussion/127221 DSB 2019 Competition: https://www.kaggle.com/c/data-science-bowl-2019/overview H2O blog: https://www.h2o.ai/blog Driverless AI: https://www.h2o.ai/products/h2o-driverless-ai/ Follow: Marios Michailidis: https://twitter.com/stacknet_?lang=en https://www.linkedin.com/in/mariosmichailidis/ https://www.kaggle.com/kazanova Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd
54:32
March 5, 2020
Interview with fast.ai hero: Radek Osmulski | Fast.ai, Learning to Learn | Machine Learning, Kaggle & Blogging
Video version available here: https://youtu.be/4h41v07bYYI Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews a machine learning hero to the complete fast.ai: Radek Osmulski. Personal Note: I think this is one of the most honest, and the best interviews in terms of the transparent Kaggle, learning to learn, and how to approach machine learning problems or machine learning materials advice. Radek shares his journey with complete honesty about how he went about learning the fast.ai materials, how he went on to smashing the kaggle competitions that he participated in, and his journey on learning to learn about all of the materials fast.ai and beyond in the machine learning world. They also talk a lot about learning to learn fast ai, and Kaggle all three together and individually as well. Follow: Radek: https://twitter.com/radekosmulski https://medium.com/@radekosmulski https://www.kaggle.com/radek1 https://www.linkedin.com/in/radek-osmulski-6b935794/?originalSubdomain=pl Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:05:31
March 1, 2020
Interview with Dr. Ashrith Barthur | Cyber-Security & Anti-Money Laundering | Applied AI & H2O AI
Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x In this episode, Sanyam Bhutani interviews Dr. Ashrith, Chief Security Scientist at H2O.ai As you can guess, they talk all about cybersecurity and AI, AI broadly speaking in this episode. Ashrith has a background in cyber security and has done a lot of interesting research in the field, he's also currently doing applied research at H2O.ai. This is a first on this podcast series: They discuss about cybersecurity generally speaking, and its applications in AI, including anti money laundering and the applications that H2O is working on in the cybersecurity domain. Links: Webinars: https://www.h2o.ai/webinars/ H2O blog: https://www.h2o.ai/blog Driverless AI: https://www.h2o.ai/products/h2o-driverless-ai/ Follow: Ashrith Barthur: https://twitter.com/cyberbaggage https://www.linkedin.com/in/abarthur/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd
44:06
February 27, 2020
Interview with Sebastian Raschka | Statistics, Open Source & ML Research | Python for ML Book
Video Version available here: https://youtu.be/beSLA-wO2T4 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dr. Sebastian Raschka, currently an assistant professor of Statistics at University of Wisconsin, Madison and the Author of Python for machine learning book. Sebastian has a background in biology and holds a PhD in quantitative biology, biochemistry, and molecular biology. In this interview, they talk all about his journey into the intersection of biology, machine learning, statistics, open source, and machine learning research. Yes, these are all of the topics that Sebastian is currently involved in. They also talk about his journey with writing the book and also discuss the his current research interests and his research efforts. They talk about another area that Sebastian is also active in, which is open source. Sebastian is an assistant professor at UW but he shares advices that apply to any student at university or otherwise in the field of machine learning looking to learn anything. Links: Python for ML Book: https://sebastianraschka.com/books.html#python-machine-learning-3rd-edition Research: https://scholar.google.com/citations?user=X4RCC0IAAAAJ&hl=en Follow: Sebastian Raschka: https://twitter.com/rasbt https://github.com/rasbt https://www.linkedin.com/in/sebastianraschka/ https://sebastianraschka.com Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:08:16
February 23, 2020
Navdeep Gill | Software Engineering & Data Science | Machine Learning Interpretability | Open Source
Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x In this episode, Sanyam Bhutani interviews Navdeep Gill: Senior Data Scientist and Software Engineer at H2O.ai. In this interview, they talk all about the intersection of these two fields: data science and software engineering, best practices for both data science and software engineering and how much of software engineering skills should our data scientists really know, is the question that they also discuss in this interview. They talk all about Navdeep's journey into machine learning, machine learning interpretability and his journey at H2O.ai. They also talk a lot about machine learning interpretability, Navdeep's thoughts on it, as well as MLI inside of H2O's products. Links: An Intro to MLI Book: https://www.h2o.ai/wp-content/uploads/2019/08/An-Introduction-to-Machine-Learning-Interpretability-Second-Edition.pdf Driverless AI: https://www.h2o.ai/products/h2o-driverless-ai/ H2O-3: http://docs.h2o.ai/h2o/latest-stable/h2o-docs/welcome.html Follow: Navdeep Gill: https://twitter.com/Navdeep_Gill_ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd
59:19
February 20, 2020
Interview with Zachary Mueller | Fast.ai: The course and New Library | SGs and Top Down Learning
Video Version available here: https://youtu.be/AXr8pzXXUDQ Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani Correction: Apologies and correction: Zach is a student at the University of West Florida, not university of Washington In this episode, Sanyam Bhutani interviews his peer from the fast.ai community: Zachary Mueller, who's a student at the University of West Florida, currently pursuing his bachelor's degree in software design and development. In this interview they talk all about fast.ai the course and fast.ai V2 the upcoming library along with all about Zach's experience with fast.ai, his journey into deep learning and fast.ai, and the projects that he's built while going through the course. They also talked about a study group that Zach has now been running for a few weeks, that builds on top of fast.ai V2 the new library on which the course is yet to come out. They also talked a lot about the top down learning approach and how can you go about learning fast.ai. Links: Study Group by Zach: https://forums.fast.ai/t/a-walk-with-fastai2-study-group-and-online-lectures-megathread/59929 Practical-Deep-Learning-for-Coders-2.0: https://github.com/muellerzr/Practical-Deep-Learning-for-Coders-2.0 Zach's YouTube Channel: https://www.youtube.com/channel/UCmKoQOD8uBqsRS8XDdSgrlQ Follow: Zachary Mueller: https://twitter.com/TheZachMueller Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:02:34
February 16, 2020
Interview with Sr. Director of Product at H2O.ai: Patrick Hall | Machine Learning, H2O.ai & Machine Learning Interpretability
Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x In this episode, Sanyam Bhutani interviews Patrick Hall, Sr. Director of Product at H2O.ai. Patrick has a background in Math and has completed a MS Course in Analytics. In this interview they talk all about Patrick's journey into ML, ML Interpretability and his journey at H2O.ai, how his work has evolved over the years. They talk a lot about MLI, ML Explainability and Model Debugging. They also talk about how these ideas are implemented inside of h2o.ai and how can someone bring these ideas to their pipelines. Links: "Real-World Strategies for Model Debugging": https://medium.com/@jphall_22520/strategies-for-model-debugging-aa822f1097ce An Intro to MLI Book: https://www.h2o.ai/wp-content/uploads/2019/08/An-Introduction-to-Machine-Learning-Interpretability-Second-Edition.pdf "Why you should care about debugging machine learning models": https://www.oreilly.com/radar/why-you-should-care-about-debugging-machine-learning-models/ "Proposed Guidelines for the Responsible Use of Explainable Machine Learning": https://arxiv.org/pdf/1906.03533.pdf Follow: Patrick Hall: https://twitter.com/jpatrickhall https://www.linkedin.com/in/jpatrickhall/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd
58:06
February 13, 2020
"Anokas": Mikel Bober-Irizar | Becoming The Youngest Kaggle Grandmaster | ML For Japanese Literature | Kaggle
Video version here: https://youtu.be/maR9ibJ2r7g Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews the Youngest Kaggle Grandmaster, "Anokas": Mikel Bober-Irizar for the second time. In this Interview, they talk all about Mikel's journey into Kaggle, ML and his current life as a CS Student. Note: He's 18 years old at the time of publishing and still the youngest person to achieve the GM Title in Comp Tier at the age of 17, as well as the youngest person to achieve the triple master title. They discuss his Kaggle journey, into ML, and ML research where he has published very interesting work and even organised a Kaggle Comp in the intersection of ML & Japanese Literature. Links: https://hackernoon.com/interview-with-the-youngest-kaggle-grandmaster-mikel-bober-irizar-anokas-17dfd2461070 https://www.kaggle.com/anokas https://www.kaggle.com/c/landmark-retrieval-challenge/discussion/57855 https://www.kaggle.com/c/kuzushiji-recognition https://scholar.google.com/citations?user=UTgURoAAAAAJ Follow: Mikel Bober-Irizar: https://twitter.com/mikb0b?lang=en Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
59:15
February 9, 2020
The Story of Kaggle & Kaggle's Evolution | Interview with the CEO of Kaggle: Anthony Goldbloom
Video Version available here: https://youtu.be/jw2Z-IMyFYw Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews the CEO of Kaggle: Anthony Goldbloom. Anthony has a background in economics and has been working on Kaggle, working on the other side of Kaggle as the CEO and co founder for almost over a decade now, They talk about his journey as the co founder of Kaggle, and even Kaggle's journey broadly speaking over the few past few years. How Kaggle has evolved, how their perspective, how their team's perspective on Kaggle and the team itself has evolved from the start until the point even after it got acquired by Google. This interview shares a lot of insights about the behind the scenes work that goes into Kaggle while hosting a competition, broadly speaking, or even putting out a new course on Kaggle learn. They also discuss Kaggle's future plans and what's next and exciting for us as frequent Kagglers. Follow: Anthony Goldbloom: https://twitter.com/antgoldbloom Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:05:05
February 6, 2020
Interview with Jason Antic | DeOldify | Fast.ai & NoGAN | Machine Learning & Software Engineering
In this episode, Sanyam Bhutani interviews Jason Antic: The creator and researcher at DeOldify for the second time. In this interview, they talk all about Jason's software engineering experience, his software experience applied to deep learning, his journey with DeOldify, how he came up with the idea of DeOldify and how he kept on improving it. They talk also broadly speaking a lot about software engineering practices and how those were helpful to Jason while working on DeOldify, fast.ai, and even the top down way of learning. Reminder: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com Video Version available here: https://youtu.be/A5Cq8SWudts Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani Links: https://sanyambhutani.com/interview-with-the-creator-of-deoldify--fast-ai-student--jason-antic/ https://github.com/jantic/DeOldify https://www.fast.ai/2019/05/03/decrappify/ https://www.instagram.com/america_in_color/ Follow: Jason Antic: https://twitter.com/citnaj Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1:05:12
February 2, 2020
Rohan Rao | Numbers, Data Science & Kaggle | ASHRAE - Great Energy Predictor 2nd Pos Sol
Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Kaggle Grand Master and Data Scientist at H2O.ai: Rohan Rao. Rohan is a Kaggle Grand Master in the competition tier, and a data scientist, He has represented India not just in data science, but also in Sudoku and puzzles. He's a seven time and current national Sudoku champion, and the first Indian to be ranked in top 10 at the World Championship in 2012, where he secured the eighth position. Currently, his world rank is 17 and he's secured two podium finishes at Asian Sudoku championship. And he's a five time national puzzle champion with his current rank being 44th. Four time and current times natural Sudoku champion. In this interview they talk all about his journey into data science, into data and numbers-his journey into the world of competitive sports, both on and off Kaggle. In the off Kaggle journey we discuss his data science journey and on Kaggle will discuss how his approach to Kaggle has changed over the years, how it's evolved, and his current thoughts on the platform and tips and advice. They also discuss his recent Eighth gold medal on Kaggle and his team's second position finish on the ASHRAE great energy prediction. Links:  Interview with CPMP:https://www.youtube.com/watch?v=wqHlAOFSFuQ  2nd Pos Solution: https://www.kaggle.com/c/ashrae-energy-prediction/discussion/123481  KaggleDaysMeetup: https://sanyambhutani.com/kaggledaysmeetup-bangalore--recap-by-dsnet-team/ Follow: Rohan Rao: https://en.wikipedia.org/wiki/Rohan_Rao https://twitter.com/vopani?lang=en https://www.kaggle.com/rohanrao https://www.linkedin.com/in/vopani/?originalSubdomain=in Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd
1:42:25
January 30, 2020
Dmitry Gordeev & Philipp Singer | What does it take to win a Kaggle Comp? | NFL Data Bowl Win Sol
Reminder: This interview and all future will have fixed subtitles (on YouTube) for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com, Video posted here: https://youtu.be/_Srv0bKmfjY Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani   In this episode, Sanyam Bhutani interviews The Two Lions from the Kaggle Team "The Zoo": Dmitry Gordeev, also known as the "dott" on kaggle. And Philipp Singer, the Psi on Kaggle   In this interview, they talk about first Dmitry's journey into data science and on kaggle. In the later half, about "The Zoo": Kaggle Team.   The zoo's journey both of their journey on kaggle. Together, their approach on teaming up their approach about winning a competition and they discuss about what does it really take to win a kaggle competition.    They also talk about their recent win on the NFL Big Data bowl competition.    Links:   Interview with Psi: https://youtu.be/7sh5QrUIAHI  Interview with Giba: https://youtu.be/MpYeDKw8EOg  Interview with CPMP: https://youtu.be/wqHlAOFSFuQ   NFL Big Data Bowl Winning Sol Writeup: https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119400   Follow:   Dmitry Gordeev:  http://twitter.com/dott1718  https://www.kaggle.com/dott1718   Philipp Singer:  https://twitter.com/ph_singer  https://www.philippsinger.info/   Sanyam Bhutani:  https://twitter.com/bhutanisanyam1   About: http://chaitimedatascience.com/  A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.   If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience  Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd
1:17:32
January 26, 2020
Kaggle Legend: Gilberto Titericz | Giba, Former #1 | Data Science & Kaggle
Reminder: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Kaggle legend, Double Kaggle Grand Master and Former number one in Kaggle Competitions: Gilberto Titericz, aka Giba on Kaggle. They talk all about Giba's journey into the field of data science broadly speaking, and also on Kaggle. Giba shares many amazing advises about Kaggle and also connect the dots for us of how those connect to the real world of data science. There are many advices about Kaggle, about data science and how to get your first break into data science. Links:  https://www.youtube.com/watch?v=MvDoc6fwVWA Follow:   Gilberto Titericz:  https://www.kaggle.com/titericz  https://twitter.com/giba1?lang=en  https://www.linkedin.com/in/gilberto-titericz-6601357/ Sanyam Bhutani:  https://twitter.com/bhutanisanyam1  Blog: sanyambhutani.com   About:  https://sanyambhutani.com/tag/chaitimedatascience/  A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.    You can expect weekly episodes every available as Video, Podcast, and blogposts.  If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:   Flow by LiQWYD https://soundcloud.com/liqwyd
1:03:59
January 23, 2020
Interview with Leland Wilkinson | Grammar of Graphics | Open Source, Statistics & Software Dev
Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dr. Leland Wilkinson, one of the best statisticians and quite literally the author of the grammar of graphics, Chief Scientist at H2O.ai. They talk all about Leland's journey into the field over the past few years his amazing contributions that  need no introduction to the audience. His work at SYSTAT, followed by his work at Tableau and his current work at H2O.ai where again, he's working on very exciting projects. They talk all about how software development has evolved all over these years and his current work at H2O, his take on the field, broadly speaking, and the interview of course includes many best advices for all of the beginners out there. Follow:  Leland:   https://www.linkedin.com/in/leland-wilkinson-07a0b25/  https://en.wikipedia.org/wiki/Leland_Wilkinson H2O.AI: https://twitter.com/h2oai https://www.linkedin.com/company/h2oai Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About:  http://chaitimedatascience.com/  A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every available as Video, Podcast, and blogposts.   Flow by LiQWYD https://soundcloud.com/liqwyd
1:02:27
January 19, 2020
Interview with Even Oldridge | Applied Research, Top Down Learning & Fast.ai | NVIDIA & Rapids.ai
Note to the listeners: Even's team is also hiring! If you're interested in bringing great ideas to the "GPU Ecosystem", please check: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Machine-Learning-Engineer--Recommender-Systems---RAPIDS_JR1926986 https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Applied-Research-Scientist--Recommender-Systems---RAPIDS_JR1926987 Reminder: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience  Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Even Oldridge, Senior Applied Research Scientist at Nvidia currently working on the rapids.ai team. They talk all about Even's journey and Even's journey into fast ai, his thoughts around the course and many best advises for people just taking the course and following the top down way of learning new things. They also talk a lot about his current work at rapid.ai. What rapids is currently working on including multiple projects, cudf, cuml, cugraph, and all of the little projects that sit inside of the rapids ai repository. Links: https://rapids.ai  https://course.fast.ai  https://medium.com/rapids-ai/accelerating-deep-learning-recommender-systems-by-15x-using-rapids-fastai-and-pytorch-b50b4d8568d1?source=---------0----------------------- Links to referred interviews:   CPMP: https://www.youtube.com/watch?v=wqHlAOFSFuQ&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=7  Jeremy Howard: https://www.youtube.com/watch?v=205j37G1cxw&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=5  Andrew Shaw: https://www.youtube.com/watch?v=zbYeCWG9GIU&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=16  Christine Payne: https://www.youtube.com/watch?v=xwXIaDrQvwE&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=21  Follow:   Even Oldridge:  http://twitter.com/Even_Oldridge   Sanyam Bhutani:  https://twitter.com/bhutanisanyam1  Blog: sanyambhutani.com About:  https://sanyambhutani.com/tag/chaitimedatascience/  A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts.   If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:   Flow by LiQWYD https://soundcloud.com/liqwyd
1:26:47
January 16, 2020
Interview with x2 Kaggle GM: Dr. Olivier Grellier | Kaggle, Data Science & H2O.ai
Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x   Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani   In this episode, Sanyam Bhutani interviews Dr. Olivier Grellier, double Kaggle Grand Master, and Senior Data Scientist at H2O.ai.    Olivier holds a PhD in signal processing and has worked across multiple roles in different domains over the years, including that of a developer, project manager, and even in trading before getting into data science.   In this interview, they talk all about Olivier's journey over the past years. His data science journey, how he got started with data science, and Kaggle. They talk all about H2O.ai. His work at H2O.ai and his current projects, Olivier shares insights into Kaggle and Kaggle competitions.  They talk all about Kaggle as a learning platform and also as a platform for professional skill development.    Follow:  Olivier:  https://www.kaggle.com/ogrellier   H2O.AI: https://twitter.com/h2oai  https://www.linkedin.com/company/h2oai   Sanyam Bhutani:  https://twitter.com/bhutanisanyam1   Blog: sanyambhutani.com   About:  http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.    You can expect weekly episodes every available as Video, Podcast, and blogposts.   Flow by LiQWYD https://soundcloud.com/liqwyd
37:54
January 13, 2020
Eugene Khvedchenya | Kaggle, Computer Vision & Best Code Practises | Severstal Steel, 4th Pos Sol
Personal Note: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com  Video Version available here: https://youtu.be/TwhJfZHx10s  Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani   In this episode, Sanyam Bhutani interviews Eugene Khvedchenya: Kaggle Comp Master and Computer Vision Consultant.    They talk all about his journey into the field and Kaggle, and his recent team gold finish on the Severstal: Steel Defect Detection Kaggle competition, where his team finished fourth, bringing another gold medal to his profile.    Eugene also says many great pieces of advice around writing code, good code, and specially good code for Kaggle competitions, along with our discussion on his open source efforts on Albumentations and another framework that he's currently working on, called Pytorch toolbelt.    Links:    Severstal Steel Detection Comp: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114716  AMA Thread: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114291  Albumentations & Interview with Vladimir Iglovikov: https://youtu.be/JS9xol0VmA4  fast.ai course: https://course.fast.ai   Follow:  Eugene Khvedchenya: https://www.linkedin.com/in/cvtalks/?originalSubdomain=ua  https://medium.com/@eugenekhvedchenya  https://www.instagram.com/ekhvedchenya/?hl=en  https://www.kaggle.com/bloodaxe   Join: ods.ai   Sanyam Bhutani:  https://twitter.com/bhutanisanyam1  Blog: sanyambhutani.com   About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every available as Video, Podcast, and blogposts.   If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd
52:03
January 9, 2020
Interview with Arno Candel | AutoML | Physics | H2O.ai | CTDS.Show
Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dr. Arno Candel: CTO at H2O.ai They talk about Arno’s journey into the field with amazing comments and insights by Arno applicable to the field. They talk all about Arno’s journey and ML, Automated Machine Learning Broadly speaking. Arno’s journey from Physics to Software Engineering to Machine Learning Broadly speaking, his journey at H2O. They also discuss H2O’s products, vision and The “Maker Culture” Links: Interview with SRK: https://sanyambhutani.com/interview-with-twice-kaggle-grandmaster-and-data-scientist-at-h2o-ai--sudalai-rajkumar/ Follow: Arno Candel: https://twitter.com/arnocandel https://www.linkedin.com/in/candel/ H2O.AI: https://twitter.com/h2oai https://www.linkedin.com/company/h2oai Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd
1:07:45
December 12, 2019
Interview with Jeremy Howard | fast.ai | Kaggle | Machine Learning Research
Personal Note: I'm extremely excited and really honoured to share this interview!   Show notes: https://sanyambhutani.com/interview-with-jeremy-howard/ Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience  Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani   In this episode, Sanyam Bhutani interviews Jeremy Howard: Co-Founder at fast.ai and Guru to the complete fast.ai community.   They talk all about Jeremy's journey into through the field as a Consultant to Founder to Kaggle Rank 1 followed by founding fast.ai.    They also discuss all about the fast.ai forums: The research that goes into it, how Jeremy and Sylvain collaborate on research and how the course is prepared.    Links:   fast.ai course:  https://course.fast.ai Interview with Sylvain Gugger:   Interview with Jason Antic (Creator of DeOldify):   Follow:  Jeremy Howard:  https://twitter.com/jeremyphoward Fast.ai: https://twitter.com/fastdotai https://fast.ai Sanyam Bhutani:  https://twitter.com/bhutanisanyam1  Blog: sanyambhutani.com   About: http://chaitimedatascience.com/  A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every available as Video, Podcast, and blogposts.   If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd
1:20:46
December 8, 2019
DistilBERT | Research at Hugging Face | NLP and Open Source | Interview with Victor Sanh
Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience  Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani   In this episode, Sanyam Bhutani interviews the Victor Sanh, Research Scientist at Hugging Face. In this interview, they talk all about his journey into the field of NLP and Machine Learning.    They also talk about Research in general and Research at Hugging Face along with a discussion on DistilBERT.  Links:   DistilBERT: https://medium.com/huggingface/distilbert-8cf3380435b5  https://arxiv.org/abs/1910.01108   Transformers Repo:  https://github.com/huggingface/transformers   https://medium.com/huggingface/distilbert-8cf3380435b5   Follow: Victor Sanh:  https://twitter.com/sanhestpasmoi?lang=en  https://www.linkedin.com/in/victor-sanh/?locale=en_US   Hugging Face:  https://twitter.com/huggingface  https://huggingface.co/  https://medium.com/huggingface Sanyam Bhutani:  https://twitter.com/bhutanisanyam1  Blog: sanyambhutani.com   About:  http://chaitimedatascience.com/  A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.    You can expect weekly episodes every available as Video, Podcast, and blogposts.   If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience  Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd
49:26
December 5, 2019
Kaggle Discussions Rank #1, x2 Grandmaster: Dr. Jean Francois Puget | IEEE-CIS Comp 2nd Pos Sol
Audio Version available here: https://anchor.fm/chaitimedatascience Newsletter: https://tinyletter.com/sanyambhutani https://hackernoon.com/interview-with-twice-kaggle-grandmaster-dr-jean-francois-puget-cpmp-6d92328e433a In this Episode, Sanyam Bhutani interviews x2 Kaggle GrandMaster, King of Kaggle Discussions: Dr. Jean Francois Puget, Ranked #1 in Discussions Tier. In this interview they talk all about IEEE-CIS Fraud Detection Kaggle Competition, CPMP's approach to Kaggle in general and also very specifically to this competition.  They also dig deeper into a few topics that pick up right after the previous interview. Comp Link: https://www.kaggle.com/c/ieee-fraud-detection Solution Overview: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111321#latest-648250 Interview with Machine Learning Hero Series: https://hackernoon.com/interview-with-machine-learning-heroes-0ifi3yyg Follow: Dr. Jean Francois Puget https://twitter.com/jfpuget https://www.linkedin.com/in/jfpuget/ https://www.kaggle.com/cpmpml Sanyam Bhutani:  https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd
57:38
November 21, 2019
Medalling in all Entered Kaggle Comp | IEEE-CIS Comp 6th Pos Sol | Interview with Dr Philipp Singer
Video Version available here: https://youtu.be/7sh5QrUIAHI Newsletter: https://tinyletter.com/sanyambhutani In this Episode, Sanyam Bhutani interviews Dr. Philipp Singer, Sr. Data Scientist at UNIQA Insurance Group and Kaggle 2x Master, Currently in Top 30 of competitions tier and Top 10 in the Discussions Tier.  They talk all about his journey into the field, along with his approach to Kaggling where he medals in every single competition that he participates in, with 83% Gold medals and 17% Silver medals (5, 1 respectively)!!! They also discuss  "The Zoo" (Team)'s recent 6th position Gold Medal finish on the IEEE-CIS Fraud Detection Kaggle Competition.  Comp Link: https://www.kaggle.com/c/ieee-fraud-detection Solution Overview: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111247 Interview with Machine Learning Hero Series: https://hackernoon.com/interview-with-machine-learning-heroes-0ifi3yyg Follow: Philipp Singer https://twitter.com/ph_singer https://www.philippsinger.info/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd
1:03:40
November 4, 2019
Predicting Molecular Prop Kaggle Comp 2nd Place Sol | Interview with Kaggle Master Andres Torrubia
Video Version available here: https://youtu.be/sqo2h7aYPPk Newsletter: https://tinyletter.com/sanyambhutani In this Episode, Sanyam Bhutani interviews Andres Torrubia, CEO of Fixr.com and Kaggle Competition Master. They talk all about his journey into the field, along with the predicting molecular property challenge along with Andres' Bruce Wayne during the day and Batman of Kaggle during the night lifestyle.  Predicting Molecular Prop Comp: https://www.kaggle.com/c/champs-scalar-coupling Solution Overview + Source Code by Andres: https://www.kaggle.com/c/champs-scalar-coupling/discussion/108845#latest-662721 Interview with Machine Learning Hero Series: https://medium.com/dsnet/interviews-with-machine-learning-heroes-ad9358385278  Follow: Andres Torrubia: https://twitter.com/antor Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd
2:11:07
November 1, 2019
DeepMind & AlphaGo | Deep Learning Research | Swift For Tensorflow | Interview with Dr. Marc Lanctot
Newsletter: https://tinyletter.com/sanyambhutani Personal Note: I'm really honored to share this conversation. I really hope you enjoy listening to it as much as I enjoyed talking to Dr. Marc Lanctot. In this Episode, Sanyam Bhutani interviews Dr. Marc Lactot, a Research Scientist at DeepMind. In this interview, they talk all about Research at DeepMind, Deep Learning Research, AlphaGo. They also talk all about Swift For Tensorflow and OpenSpiel. Dr. Marc Lanctot is a research scientist at Google DeepMind. Previously, he was a post-doctoral researcher at the Maastricht University Games and AI Group, working with Mark Winands. During his PhD, Marc worked on sampling algorithms for equilibrium computation and decision-making in games. His research interests include in general multiagent learning (and planning), computational game theory, reinforcement learning, and game-tree search. Open Spiel: https://deepmind.com/research/open-source/openspiel Interview with Machine Learning Hero Series: https://medium.com/dsnet/interviews-with-machine-learning-heroes-ad9358385278  Links from the podcast:  - Commodore 64: https://en.wikipedia.org/wiki/Commodore_64 - Intellivision (early console!): https://en.wikipedia.org/wiki/Intellivision - AD&D Treasure of Tarmin (Intellivision game with 3D perspective-- pretty advanced for its time!): https://en.wikipedia.org/wiki/Advanced_Dungeons_%26_Dragons:_Treasure_of_Tarmin - Montezuma's revenge: https://en.wikipedia.org/wiki/Montezuma%27s_Revenge_(video_game) Follow: Dr. Marc Lanctot https://twitter.com/sharky6000 http://mlanctot.info/ https://www.linkedin.com/in/marc-lanctot-a1619095/?originalSubdomain=ca Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
1:11:19
October 27, 2019
Swift For Tensorflow | Software Engineering Internship at Google | Interview with Bart Chrazaszcz
Audio Version available here: https://anchor.fm/chaitimedatascience Newsletter: https://tinyletter.com/sanyambhutani In this Episode, Sanyam Bhutani interviews Bart Chrzaszcz, an undergraduate at the University of Waterloo. They talk about Bart's Google Software Engineering Internship where he contributed to Swift For Tensorflow, OpenSpiel. Interview with Machine Learning Hero Series: https://medium.com/dsnet/interviews-with-machine-learning-heroes-ad9358385278  Follow: Bart: https://twitter.com/bart_chr Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
35:39
October 27, 2019
Boris Dorado Interview | Gold Medalling in First Kaggle Comp | Predicting Molecular Prop Kaggle Comp Solution
Audio Version available here: https://anchor.fm/chaitimedatascience Newsletter: https://tinyletter.com/sanyambhutani In this Episode, Sanyam Bhutani interviews Dr. Boris Dorado. They talk about Boris's first Kaggle Competition experience and his takeaways from teaming up with 4 Kaggle Grandmasters in the "Predicting Molecular Property Kaggle Competition" and their team's solution.  AMA Thread: https://www.kaggle.com/c/champs-scalar-coupling/discussion/109670 Interview with Machine Learning Hero Series: https://medium.com/dsnet/interviews-with-machine-learning-heroes-ad9358385278  Follow: Dr. Boris Dorado: https://www.linkedin.com/in/boris-dorado/ https://borisdorado.com/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
52:29
October 21, 2019
Chip Huyen Interview: Machine Learning Interviews | MOOCS and Deep Learning at NVIDIA
Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Chip Huyen, Senior Deep Learning Engineer at NVIDIA. They talk all about her journey into the field and her work at NVIDIA.  They also discuss Chip's amazing upcoming book about ML interviews and ML interviews in general, Deep learning research and MOOCS. Links:  https://huyenchip.com/ Twitter thread about the book: https://twitter.com/chipro/status/1152077188985835521 Blogpost about the book: https://huyenchip.com/2019/07/21/machine-learning-interviews.html Glassdoor review Blogpost: https://huyenchip.com/2019/08/21/glassdoor-interview-reviews-tech-hiring-cultures.html Follow: Chip Huyen: https://twitter.com/chipro?lang=en Website: https://huyenchip.com/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: https://medium.com/@init_27 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
59:59
October 18, 2019
Generative Deep Learning, Technical Writing & Data Science Consulting | Interview with David Foster
Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani Giveway Links:  Linkedin: https://www.linkedin.com/posts/sanyambhutani_generative-deep-learning-technical-writing-activity-6589683729122283520-E2OZ Twitter: https://twitter.com/bhutanisanyam1/status/1183920078288351232 In this episode, Sanyam Bhutani interviews David Foster, Co-Founder of Applied Data Science, Author of Generative Deep Learning  In this interview, they talk all about his journey into the field and his path as a Data Scientist and his experience with Technical writing. They also talk all about the Generative Deep Learning Book, the efforts and the process of writing it. Links:  Book: https://www.oreilly.com/library/view/generative-deep-learning/9781492041931/ Applied Data Science: https://adsp.ai/ David's blogposts: https://medium.com/@dtfoster Follow: David Foster: https://www.linkedin.com/in/davidtfoster/ Applied Data Science:  adsp.ai https://twitter.com/applied_data https://www.linkedin.com/company/applied-data-science/?originalSubdomain=in Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: https://medium.com/@init_27 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
43:09
October 15, 2019
Hugging Face, Transformers | NLP Research and Open Source | Interview with Julien Chaumond
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews the CTO of Hugging Face, Julien Chaumond. In this interview, they talk all about his journey into the field and his path as a CTO of Hugging Face. They discuss all the amazing work being done at Hugging Face, research and open source as well as about their team. Links:  https://transformer.huggingface.co/ Transformers Repo: https://github.com/huggingface/transformers https://medium.com/huggingface/distilbert-8cf3380435b5 Follow: Julien Chaumond: https://twitter.com/julien_c Hugging Face: https://twitter.com/huggingface https://huggingface.co/ https://medium.com/huggingface Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: https://medium.com/@init_27 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
1:04:17
October 2, 2019
Producing a Chainsmokers Remix with AI (MusicAutobot), DAWNBench & fast.ai | Interview with Andrew Shaw
In this episode, Sanyam Bhutani interviews Andrew Shaw. In this interview, they talk all about Andrew's journey into the field, his fast.ai journey, and his recent project: musicautobot. MusicAutobot is an "AI Pop Music Generator". They also briefly talk about the fast.ai DAWNBench results. Links:  https://musicautobot.com/ fast.ai DAWNBench: https://www.fast.ai/2018/08/10/fastai-diu-imagenet/ https://www.fast.ai/2018/04/30/dawnbench-fastai/ Blogposts: Part 1: https://towardsdatascience.com/creating-a-pop-music-generator-with-the-transformer-5867511b382a Part 2: https://towardsdatascience.com/practical-tips-for-training-a-music-model-755c62560ec2 Part 3: https://towardsdatascience.com/a-multitask-music-model-with-bert-transformer-xl-and-seq2seq-3d80bd2ea08e Part 4: https://towardsdatascience.com/how-to-remix-the-chainsmokers-with-a-music-bot-6b920359248c Follow: Andrew Shaw: https://twitter.com/bearpelican Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: https://medium.com/@init_27 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
37:20
September 28, 2019
Medical Science, Open Source and AI | Interview with Dr. Judy Gichoya
Video version: https://youtu.be/ULXB6a9i20A Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dr. Judy Gichoya about her journey into both the Open Source and Machine Learning world. Judy is kind enough to share great advice for people in both domains: People from the Medical domain and people from the "ML" domain looking to get started in the opposite domain. They also talk about Judy's current (and upcoming) research: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1928481&HistoricalAwards=false Links:  LibreHealth: https://librehealth.io/ OpenMRS: https://openmrs.org/ Bad Blood book: https://en.wikipedia.org/wiki/Bad_Blood:_Secrets_and_Lies_in_a_Silicon_Valley_Startup Follow: Dr. Judy Gichoya https://twitter.com/judywawira https://www.linkedin.com/in/judy-gichoya-08195012/ https://medium.com/@judywawira Sanyam Bhutani: https://twitter.com/bhutanisanyam1 https://www.linkedin.com/in/sanyambhutani/ https://medium.com/@init_27 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
1:03:13
September 8, 2019
"And the Bit Goes Down", Deep Learning Research, Research at FAIR | Interview with Pierre Stock
Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this Episode, Sanyam Bhutani interviews Pierre Stock, resident PhD student at FAIR Lab, Paris. In this interview, they talk a lot about his research, Deep Learning Research in general and FAIR. They also discuss Pierre's recent research: And the Bit Goes Down: Revisiting the Quantization of Neural Networks (Link: https://arxiv.org/pdf/1907.05686.pdf) Repository: https://github.com/facebookresearch/kill-the-bits Follow: Pierre Stock: https://twitter.com/PierreStock https://research.fb.com/people/stock-pierre/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: https://medium.com/@init_27 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
46:30
September 5, 2019
Deep Learning Applied to Audio, Self Studying ML | Interview with fast.ai fellow Robert Bracco
Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience In this episode Sanyam Bhutani interviews Robbert Bracco about his journey, the "unofficial fastai audio port" and they set the theme for the future episodes around "Self-Teaching", "Things Jeremy Says to do/fastai recap"  Unofficial fast.ai audio framework: https://github.com/mogwai/fastai_audio/ Deep Learning Audio Thread: https://forums.fast.ai/t/deep-learning-with-audio-thread/38123 Things Jeremy Says to do Thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682/24 Follow: Robbert Bracco https://twitter.com/MadeUpMasters Sanyam Bhutani:  https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
49:07
September 1, 2019
MuseNet, OpenAI and Deep Learning Research: Interview with Christine Payne
Previous Blog Interview: https://medium.com/dsnet/interview-with-openai-fellow-christine-mcleavey-payne-aaef948ad571 In this episode, Sanyam Bhutani interviews Christine Payne for the second time. They talk about MuseNet, OpenAI and Deep Learning Research, MOOC(s) for Machine Learning, Deep Learning.  MuseNet: https://openai.com/blog/musenet/ Follow: Christine Payne: https://twitter.com/mcleavey https://www.linkedin.com/in/mcleavey/ http://christinemcleavey.com/ Sanyam Bhutani:  https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
1:00:36
August 25, 2019
Interview with the Leader of mlcourse.ai, Dr. Yury Kashnitsky | Chai Time Data Science
Subscribe to my newsletter here: https://tinyletter.com/sanyambhutani/ Course website: mlcourse.ai Call to action (Request): Please help us spread the word about the course.  Twitter thread: https://twitter.com/bhutanisanyam1/status/1163429648698494976?s=20 Linkedin Post: https://www.linkedin.com/feed/update/urn:li:activity:6569181565664972801/ In this episode Sanyam Bhutani interviews Dr. Yury Kashnitsky about mlcourse.ai; mlcourse.ai dubbed "Learn Machine Learning the hardway", is an open Machine Learning course by OpenDataScience. The course is designed to perfectly balance theory and practice. In this episode we talk about the course setup and structure. The efforts that went into creating the course. Yury is also kind enough to share many great advices to both future students and mlcourse alumni.  Follow: Dr. Yury Kashnitsky https://twitter.com/ykashnitsky https://yorko.github.io Sanyam Bhutani:  https://twitter.com/bhutanisanyam1 sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
1:02:03
August 23, 2019
Albumentations Framework: a fast image augmentations library | Interview with Dr. Vladimir Iglovikov
Subscribe to my newsletter here: https://tinyletter.com/sanyambhutani/ Video of the interview is available here: https://youtu.be/P7vUzcySzkM Previous Blog Interview: https://medium.com/dsnet/interview-with-kaggle-grandmaster-senior-cv-engineer-at-lyft-dr-vladimir-i-iglovikov-9938e1fc7c Albumentations Framework: https://github.com/albu/albumentations Albumentations is a fast image augmentation library and easy to use wrapper around other libraries by Alexander Buslaev, Alex Parinov, Vladimir I. Iglovikov, Evegene Khvedchenya. In this Episode, Sanyam Bhutani interviews Dr. Vladimir Iglovikov for the second time. They talk about albumentations, image augmentations and contributing to open source.  Follow: Dr. Vladimir Iglovikov https://twitter.com/viglovikov https://www.linkedin.com/in/iglovikov/ https://www.kaggle.com/iglovikov Sanyam Bhutani:  https://twitter.com/bhutanisanyam1 https://www.linkedin.com/in/sanyambhutani/ https://www.kaggle.com/init27/ About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
52:58
August 19, 2019
NVIDIA's DALI Library, Image Augmentations Discussion: Interview with James Dellinger
Subscribe to my newsletter here: https://tinyletter.com/sanyambhutani/ Video available here: https://youtu.be/IMOqrf5NPUU https://towardsdatascience.com/diving-into-dali-1c30c28731c0 In this episode, Sanyam Bhutani interviews James Dellinger about his experiments with the DALI library by NVIDIA. They talk about performance, convenience, and comparisons of the frameworks against others. Follow: James Dellinger: https://twitter.com/jamrdell https://www.linkedin.com/in/jamdell/ https://medium.com/@jamesdell Sanyam Bhutani:  https://twitter.com/bhutanisanyam1 https://www.linkedin.com/in/sanyambhutani/ https://medium.com/@init_27 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
32:27
August 15, 2019
Interview with Kaggle Kernels Grandmaster #1: Artgor | Andrew Lukyanenko
In this episode, Sanyam Bhutani interviews the king of kaggle kernels, Grandmaster Andrew Lukyanenko (Ranked #1) about his journey into Data Science, Kaggle. They also talk about his pipeline for writing kernels.  Follow: Andrew Lukyaneko Twitter, Linkedin, Kaggle Sanyam Bhutani:  Twitter, Linkedin, Kaggle About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
40:56
August 12, 2019
Interview with Kaggle Kernels GM: Shivam Bansal
In this episode, Sanyam Bhutani interviews Shivam Bansal, Kaggle Kernels GM ranked in the Top 4 of the tier. They talk about his journey into Data Science, Kaggle, the solution to his recent competition win: Data Science for Good: City of LA Comp. Shivam also shares his pipeline and motivation behind writing kernels.  Shivam's Kernel Profile, Competition Link, Competition Solution Follow: Shivam Bansal: Twitter, Linkedin, Blog Sanyam Bhutani:  Twitter, Linkedin, Blog About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
46:13
August 8, 2019
Deep Learning Research, Hardware, Kaggle | Interview with Tim Dettmers
This has been one of the most enlightening conversations for us about Deep Learning Research. In this Interview, Sanyam Bhutani interviews Tim Dettmers, a Ph.D. student at the University of Washington. They talk about Deep Learning Research, Pipelines for Research, Sparse Networks from Scratch: Faster training without Losing Performance paper by Tim. They also talk about Hardware, Tim's Kaggle.  Follow: Tim Dettmers: Twitter, Blog Sanyam Bhutani:  Twitter, Blog About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
1:43:54
August 4, 2019
Data Science for Good: City of LA Kaggle Winning Solution Interview with Kaggle Kernels Grandmaster Shivam Bansal
In this Conversation, Sanyam Bhutani interviews Shivam Bansal about his recent Kaggle Competition Winning Solution for the: Data Science for Good: City of Los Angeles Competition.   The complete interview will be released on the 8th of August, Stay Tuned! The complete interview will be released on the 8th of August, Stay Tuned! Competition Link, Solution Link Follow: Shivam Bansal: Twitter, Linkedin, Blog, Kaggle Sanyam Bhutani:  Twitter, Linkedin, Blog, Kaggle About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
17:27
August 1, 2019
Interview with CEO of SharpestMinds, Edouard Harris | Chai Time Data Science
We're super excited to share this amazing interview with the CEO of SharpestMinds, a startup from the Y Combinator batch of W '18: Edouard Harris.  In this episode, Sanyam Bhutani interviews Edouard Harris about their company, Ed's journey into Data Science and they talk many great things about jobs in the Data Science/Machine Learning Landscape.  Follow: Edouard Harris: Twitter Profile, Linkedin Profile, Blog Sharpest Minds Jeremie Harris: Twitter Profile, Blog Russell Pollari: Twitter Profile, Linkedin Profile, Blog Host: Sanyam Bhutani:  Twitter Profile, Linkedin Profile, Blog About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
51:08
July 28, 2019
Interview with Kaggle Master, ML Engineer: Ryan Chesler | Chai Time Data Science
In this Episode, Sanyam Bhutani interviews Kaggle Competition Master: Ryan Chesler. They talk about Ryan's journey into Data Science and Kaggle; his Kaggle Experience and current projects as well as his solution to the Jigsaw Unintended Bias in Toxicity Classification Kaggle Competition Interview with Machine Learning Hero Series Follow: Ryan Chesler:  Kaggle Profile, Linkedin Profile, Twitter Profile Sanyam Bhutani:  Twitter Profile About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
35:15
July 25, 2019
Kaggle Triple Grandmaster, Abhishek Thakur Interview
In the first Episode, Sanyam Bhutani interviews Kaggle Triple Grandmaster: Abhishek Thakur.  They talk about Abhishek's journey into Data Science and Kaggle; his Kaggle Experience and current projects.   Interview with Machine Learning Hero Series Follow:  Abhishek Thakur:  Twitter Profile, Linkedin Profile, Kaggle Profile   Sanyam Bhutani:  Twitter Profile. Linkedin Profile, Kaggle Profile About: http://chaitimedatascience.com/  A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.   If you'd like to support the podcast
49:36
July 21, 2019
Chai Time Data Science Launch Announcement
A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogpost. Interview with ML Hero Series: https://medium.com/p/bfaaf38df219  YouTube: https://www.youtube.com/channel/UCmKaoNn0OvxVAe7f_8sXYNQ Blog: https://medium.com/@init_27
02:34
July 20, 2019