Chai Time Data Science

Predicting Molecular Prop Kaggle Comp 2nd Place Sol | Interview with Kaggle Master Andres Torrubia

An episode of Chai Time Data Science

By Sanyam Bhutani
About
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.
More places to listen
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.
chaitimedatascience.com

More places to listen

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
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