Chai Time Data Science
By Sanyam Bhutani
Chai Time Data Science Apr 09, 2020
Top Kagglers Panel on Best Practises for Training Models
YT Channel: https://www.youtube.com/@ChaiTimeDataScience
Learn more about H2O's Hydrogen Torch app here: https://h2o.ai/platform/ai-cloud/make/hydrogen-torch/
In this "episode", Sanyam Bhutani will host the the world's top kagglers and best data scientists to learn and debate the best practises for training ml models. We will learn from their experience of having won multiple competitions and built many incredible products at H2O: what are the best practises for taming your ml model
Panelists:
Dmitry Gordeev:
https://www.kaggle.com/dott1718
https://www.linkedin.com/in/dmitry-gordeev-50116023/?originalSubdomain=at
Gabor Fodor:
https://www.kaggle.com/gaborfodor
https://www.linkedin.com/in/gábor-fodor-6a081548/?originalSubdomain=hu
Pascal Pfeiffer:
https://www.linkedin.com/in/pascal-pfeiffer/
Philipp Singer:
https://www.kaggle.com/philippsinger
https://www.linkedin.com/in/philippsinger/
Yauhen Babakhin:
https://www.kaggle.com/ybabakhin
https://www.linkedin.com/in/yauhenbabakhin/
Sanyam Bhutani:
https://www.kaggle.com/init27
https://twitter.com/bhutanisanyam1
https://www.linkedin.com/in/sanyambhutani/
A show for interviews with Practitioners, Kagglers & Researchers hosted by Sanyam.
Announcement + Amed Coulibaly | How to become Kaggle Competitions Grandmaster | #159
Channel: http://youtube.com/c/ChaiTimeDataScience/
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this Episode, Sanyam Bhutani interviews Amed Coulibaly about his journey and reflection on reaching Kaggle Competitions Grandmaster.
They also understand his team's 3rd place solution to recently ended Feedback competition
Links:
Solution: https://www.kaggle.com/competitions/feedback-prize-english-language-learning/discussion/369609
Follow:
Amed Coulibaly:
Twitter: https://twitter.com/Amedprof
Linkedin: https://www.linkedin.com/in/amed-coulibaly-94150610a/
Kaggle: https://www.kaggle.com/amedprof
Sanyam Bhutani:
Twitter: https://twitter.com/bhutanisanyam1
LinkedIn: https://www.linkedin.com/in/sanyambhutani/
Kaggle: https://www.kaggle.com/init27
Blog: sanyambhutani.com
A show for Interviews with Practitioners, Kagglers & Researchers, and all things Data Science hosted by Sanyam Bhutani.
Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150
The show becomes "Coffee Time Data Science" for a one-time special episode! The genesis for this interview was this twitter thread: https://twitter.com/jeremyphoward/status/1503920390447730690
Video version: https://www.youtube.com/watch?v=g_6nQBsE4pU
Links from the show:
fastai Course: https://course.fast.ai
How not to do fastai: https://medium.com/@init_27/how-not-to-do-fast-ai-or-any-ml-mooc-3d34a7e0ab8c
Meta Learning Book: https://radekosmulski.gumroad.com/l/learn_deep_learning
Rachel’s advice on Blogging: https://medium.com/@racheltho/why-you-yes-you-should-blog-7d2544ac1045
In the frame:
Jeremy Howard:
https://twitter.com/jeremyphoward
Sanyam Bhutani:
https://twitter.com/bhutanisanyam1
OUTLINE:
0:00 - Intro
2:40 - Reaching Kaggle Grandmaster Tier
4:46 - Current Work
6:30 - University Education
12:00 - Signing up for fastai
15:49 - Failures with fastai
18:29 - Tenacity
23:40 - Content Creation
33:10 - Sharing your work
36:09 - Educational Content
41:49 - Failing Google AI Residency
46:34 - Starting the podcast
48:19 - Question to Jeremy
52:40 - Thank you
Kathleen Walch, Ronald Schmelzer: AI Today Podcast, Creating AI Content: #137
Video Version: https://youtu.be/qObfeWYbrPM
In this episode, Sanyam Bhutani interviews the hosts from AI Today Podcast: Kathleen Walch, Ronald Schmelzer
They talk about their journey into AI, creating AI Content, and the AI Today Podcast.
Links:
AI Today Podcast: https://www.cognilytica.com/aitoday/
Cognalytica: https://www.cognilytica.com
Follow:
Kathleen Walch:
Twitter: https://twitter.com/kath0134
Linkedin: https://www.linkedin.com/in/kathleen-walch-50185112/
Ronald Schmelzer:
Twitter: https://twitter.com/rschmelzer
Linkedin: https://www.linkedin.com/in/rschmelzer/
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.
ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136
Video Version: https://youtu.be/W3aWEXqIkWk
Blog Overview: http://sanyambhutani.com/interview-with-the-nvidia-acm-recsys-2021-winning-team
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this Episode, Sanyam Bhutani interviews a panel from the ACM RecSys Winning competition team at NVIDIA.
They explain why are RecSys systems such a hard problem, how can GPUs accelerate these, how do we productize such solutions.
The team also does a ground basic to a complete overview of their solution. They understand the team's approaches to the problem, how did they arrive at the solution, and the tricks that they discovered and very generously shared in this interview
Links:
Interview with Even Oldridge: https://youtu.be/-WzXIV8P_Jk
Interview with Chris Deotte: https://youtu.be/QGCvycOXs2M
Open Source Solution: https://github.com/NVIDIA-Merlin/competitions/tree/main/RecSys2021_Challenge
Paper Link: https://github.com/NVIDIA-Merlin/competitions/blob/main/RecSys2021_Challenge/GPU-Accelerated-Boosted-Trees-and-Deep-Neural-Networks-for-Better-Recommender-Systems.pdf
Follow:
Benedikt Schifferer:
Linkedin: https://www.linkedin.com/in/benedikt-schifferer/
Bo Liu:
Twitter: https://twitter.com/boliu0
Kaggle: https://www.kaggle.com/boliu0
Chris Deotte:
Twitter: https://twitter.com/ChrisDeotte
Kaggle: https://www.kaggle.com/cdeotte
Even Oldridge
Twitter: https://twitter.com/even_oldridge
Linkedin: https://www.linkedin.com/in/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.
"SentDex", Harrison Kinsley: YouTube, Entrepreneurship and NNFS.io #135
Personal Note: This was a huge honor for me to meet Harrison and have him on the podcast!
In this episode, Sanyam Bhutani interviews THE SentDex about his journey as an entrepreneur, YouTube content creator, Educator and Author.
They talk about his journey on and off the platform and the R&D that happens behind the scenes for the incredible videos that we get to see.
They also discuss how the NVIDIA DGX A-100 box has been helping Harrison for the few months of usage. Thanks to our friends at NVIDIA for helping make this conversation happen!
Link:
NNFS.io: https://nnfs.io
DGX-A100: https://www.nvidia.com/en-in/data-center/dgx-a100/
Interview with Charlie Boyle: https://www.youtube.com/watch?v=SiUnKGD90uI
Follow:
Harrison Kinsley:
YouTube: https://www.youtube.com/user/sentdex
Twitter: https://twitter.com/Sentdex
Website: https://hkinsley.com
Linkedin: https://www.linkedin.com/in/hkinsley/
Instagram : https://www.instagram.com/sentdex/
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.
#Python #machinelearning #SentDex
Clair Sullivan: Graphs and the Neo4J Ecosystem #134
Personal Note: I'm so happy to release a new interview after a really long break!
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Clair Sullivan, Graph Data Science Advocate at Neo4j
They talk about Clair's journey from taking up the challenge and becoming an engineer to later transitioning from academia back into the industry
Links:
Neo4j: https://neo4j.com
NODES 2021: https://neo4j.com/event/nodes-2021/
Follow:
Clair Sullivan:
https://twitter.com/CJLovesData1
https://www.linkedin.com/in/dr-clair-sullivan-09914342/
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.
Emil Wallner: Art & ML, Being Internet Taught, Creating ML Content #133
Personal Note: Season 1 Finale had to be my interview with Emil. Huge thanks everyone for being a part of this journey!
Video Version: https://youtu.be/ENbKecYgITA
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Emil Wallner, Artist in Residence at Google.
They talk about Emil's journey from being a kind of a village in Africa to travelling and transitioning into AI.
They discuss Emil's tweet storms, his self-taught journey and beyond
Link: Meta thread to all of Emil's tweetstorms: https://twitter.com/bhutanisanyam1/status/1278036597523406849?s=20
Follow:
Emil Wallner:
https://twitter.com/EmilWallner
https://github.com/emilwallner
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Andrada Olteanu: Learning Data Science, Journey to becoming Kaggle Master #132
Personal Note: This was one my favourite Kaggle related interviews. Personally, I found Andrada's journey to be very relatable.
Video Version: https://youtu.be/nshTx_EfRKU
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Andrada Olteanu about her journey to transitioning into Data Science and Learning on Kaggle.
They discuss the struggles of learning something new and how to approach Kaggle.
Follow:
Andrada Olteanu:
https://twitter.com/andradaolteanuu
https://www.linkedin.com/in/andrada-olteanu-3806a2132/
https://www.kaggle.com/andradaolteanu
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Laura Leal Taixé: Computer Vision & Research at the Dynamic Vision & Learning Group #131
Video Version: https://youtu.be/xDhVLLc4pUk
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Laura Leal Taixe.
They talk about Laura's journey into Academia and her research at the Dynamic Vision & Learning Group.
Follow:
Laura Leal Taixé:
https://twitter.com/lealtaixe
https://www.youtube.com/channel/UCQVCsX1CcZQr0oUMZg6szIQ
https://dvl.in.tum.de/team/lealtaixe/
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
William Falcon: The PyTorch Lightning Story #130
Video Version: https://youtu.be/xbcGj_mtTB0
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the creator of PyTorch Lightning: William Falcon
They talk about William's journey from being in the military to the financial world, learning how to code and eventually transitioning into Data Science.
They discuss the PyTorch lightning story and William's research, Grid.ai
Links:
Grid.ai: https://www.grid.ai
PyTorch Lightning: https://www.pytorchlightning.ai
Blog: https://www.williamfalcon.com/accessible-ai-blog
Follow:
William Falcon:
https://twitter.com/_willfalcon
https://www.williamfalcon.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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Katy Warr: Fooling AI, Strengthening Deep Neural Networks Book, Adversarial Attacks #129
Video Version: https://youtu.be/ODSgwUAzJj4
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Katy Warr from Roke Manor Research, author of Strengthening DNNs book.
They talk about Katy's journey into AI, her work at Roke and the story of the book.
They also talk about Fooling AI, DNNs, adversarial attacks and how to prevent these
Book: https://www.oreilly.com/library/view/strengthening-deep-neural/9781492044949/
Follow:
Katy Warr:
https://www.linkedin.com/in/katywarr
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Laura Fink: Journey to becoming Kaggle Kernels Grandmaster #128
Video version: https://youtu.be/g_lBMheQcpw
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Kaggle Grandmaster and Data Scientist: Laura Fink.
They talk about Laura's journey from Physics into Data Science, her journey into creating the amazing storytelling notebooks on Kaggle and general tips & suggestions to Kaggle Noobs
Follow:
Laura Fink:
https://www.linkedin.com/in/laura-f-ab2010170
https://www.kaggle.com/allunia
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Barr Moses: Data Reliability, Data Downtime, MonteCarlo Data #127
Video Version: https://youtu.be/-Iem6tUnm2A
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews co-founder & CEO of MonteCarlo Data: Barr Moses.
MonteCarlo Data is trying to solve the issues of reliability and downtime of data.
They talk a lot about Data Downtime, observability and all of the issues that originate out of having "bad" data or issues with data.
They also talk about Barr's journey into Data.
Follow:
https://www.montecarlodata.com
Barr Moses:
https://twitter.com/bm_datadowntime
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
David Luebke: Graphics Research at NVIDIA, Training GANs with Limited Data #126
Video Version: https://youtu.be/PaaKh7Tpzxg
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Dr David Luebke, VP of Graphics Research at NVIDIA.
They talk about the fascinating world of Graphics and the research that goes on behind the scenes. Ray-Tracing and its promise.
They also discuss NVIDIA's recent improvements in GANs: "Training GANs with Limited Data" paper
Links:
Interview with Bryan Catanzzaro: https://youtu.be/guJT5GOiNjA
Paper Link: https://arxiv.org/abs/2006.06676
Follow:
David Luebke:
https://twitter.com/davedotluebke
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Torsten Sattler: CV, Mixed Reality, Localisation & Robotics #125
Video Version: https://youtu.be/Ki3SiI0nzF8
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Senior CV Researcher at CTU: Torsten Sattler.
Torsten's research interests span: 3D Computer Vision, Localization, AR, VR, self driving cars.
Like all research conversations, this was really an insightful one
They also dive into his recent research as a proxy to understanding how it Torsten approaches the search problems.
Links:
http://openaccess.thecvf.com/content_cvpr_2018/papers/Schonberger_Semantic_Visual_Localization_CVPR_2018_paper.pdf
https://openaccess.thecvf.com/content_CVPR_2019/papers/Dusmanu_D2-Net_A_Trainable_CNN_for_Joint_Description_and_Detection_of_CVPR_2019_paper.pdf
Follow:
Torsten Sattler:
https://twitter.com/sattlertorsten
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
#GoogleAI #Research #MultiModal
Zachary Mueller: Learning, Applying and contributing to Fastai #124
Video Version: https://youtu.be/35Gd8bBDwdo
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews THE PROFESSOR, Zachary Mueller.
This is Part 2 of the conversation and they discuss Zach's journey from learning fastai to actively contributing to it and moderating the forums.
They also discuss Zach's blogposts, his course and learnings from a recent internship.
Follow:
Zachary Mueller:
https://twitter.com/thezachmueller
https://muellerzr.github.io/fastblog/
https://www.youtube.com/channel/UCmKoQOD8uBqsRS8XDdSgrlQ
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Arsha Nagrani: Multi-Modal Research, Speaker Diarisation, VoxCeleb #123
Video Version: https://youtu.be/2tLNfR2whio
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Dr. Arsha Nagrani.
Arsha has been working as a researcher at the intersection of audio, video, or audio and computer vision. They try to uncover what the field is really about.
She has also co organised challenges for problems in this domain.
They talk talk about all of these works along with her approach to research.
Links:
Interview with Dima: https://youtu.be/GXqq_hj-UuY
Follow:
Arsha Nagrani:
https://twitter.com/nagraniarsha
https://www.linkedin.com/in/arsha-nagrani-601a726b
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Ekaterina Kochmar: Automated Language Teaching & Assessment, NLP, Korbit.ai #122
Video Version: https://youtu.be/2MT7bYZsiV4
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Ekaterina Kochmar: Lecturer and Researcher at Cambridge University, Co-Founder & CSO at Korbit.ai
As you might know, Sanyam is a fan of learning to learn - The topic in general, they bring back the conversation in this episode. Ekaterina has been working on automated language teaching and assessment, which is using machine learning or different tools to augment teaching as an intelligent tutor to build intelligent systems for teaching different concepts for language, specifically English language, and even beyond.
They have a deeper dive into this conversation discuss:
- What does building a system like this take?
- What research goes into it?
- What are the interesting trends here?
They also dive into Katrina's approach of research, and what does a research pipeline for her look like.
Links:
https://www.manning.com/books/getting-started-with-natural-language-processing
Follow:
Ekaterina Kochmar:
https://www.linkedin.com/in/ekaterina-kochmar-0a655b14/
https://www.cl.cam.ac.uk/~ek358/
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Richard Craib: The Numerai Story, Building the World's last Hedge Fund #121
Video Version: https://youtu.be/H0NfDIDcu84
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews a founder from South Africa, of the ranks of Elon Musk's Genius, Founder & CEO at Numerai: Richard Craib
They talk about Richard's journey into the world of Finance, Trading and Data Science.
They also discuss the Numerai story, the hedge fund, the competition and recently announced signals, along with the "Master Plan"
Links:
Signals: https://signals.numer.ai
https://medium.com/numerai/numerais-master-plan-1a00f133dba9
Follow:
Richard Craib:
https://twitter.com/richardcraib
https://www.linkedin.com/in/richardcraib/
http://twitter.com/numerai
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Michael Kennedy: Talk Python and Python Bytes Podcast, Creating Pythonic Content #120
Video Version: https://youtu.be/pgzEqhuGBd0
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani talks Python to the amazing podcaster, content creator and educator: Michael Kennedy, the host of talk Python podcast and Python Bytes podcast,
In this episode, they talk about Michael's journey in programming and with Python. Michael has been hosting the podcast for five years and has been in the programming world for even longer, they dive into what he's learned through this and his perspective, how it has evolved through creating content, and to creating these courses and, and eventually a business around it as well.
Links:
https://talkpython.fm/home
Automating the saw: https://www.youtube.com/watch?v=JEImn7s7x1o
The ML leads to 50 exoplanet discovery: https://www.techrepublic.com/article/machine-learning-algorithm-confirms-50-new-exoplanets-in-historic-first/
Follow:
Michael Kennedy:
https://twitter.com/mkennedy
https://www.linkedin.com/in/mkennedy/
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Charlie Boyle: Pushing the Envelope of Super Computing, NVIDIA DGX A100, Hardware Engg at NVIDIA #119
Video Version: https://youtu.be/SiUnKGD90uI
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the VP, GM of DGX Systems at NVIDIA.
NVIDIA recently unveiled their new DGX A100 systems and new A100 GPUs, that are really pushing the envelope of super computing.
In this episode, they discuss the engineering that goes behind the scenes, how the systems are designed and their origin, how these have evolved over the years and NVIDIA's design philosophy as a proxy to understanding how these might bleed into consumer GPUs over time.
Links:
Links: https://nvda.ws/32HaMCm
https://nvidianews.nvidia.com/news/nvidia-dgx-station-a100-offers-researchers-ai-data-center-in-a-box
https://www.youtube.com/watch?v=TKtN04z7Q5Q
Follow:
Charlie Boyle:
https://www.linkedin.com/in/charlie-boyle-0201a8/
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Tim Dettmers: Personal Side of Academia, How to pick your Grad School, RTX 3000 FAQ #118
Video Version: https://youtu.be/RvwynqDUoQE
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews PhD Student: Tim Dettmers for the second time on the show!
In this episode, they talk a lot about research in general, and the personal aspect of research, which isn't covered as much: How you should pick a grad school, Is creativity important in academia
They talk a lot about personal side of things while you're going through the process of exploration in research, or in life in general
They also talked about the RTX 3000 series, and discussed a few FAQs based on these.
Links:
https://timdettmers.com/2020/03/10/how-to-pick-your-grad-school/
https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/
Follow:
Tim Dettmers:
https://twitter.com/tim_dettmers
https://timdettmers.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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
#GoogleAI #Research #MultiModal
"Beluga", Gabor Fodor: Cornell Birdcall 10 Pos Solo Gold Sol #117
Video Version: https://youtu.be/1O15z3Bv3UE
In this episode, Sanyam Bhutani interviews the Beluga of Kaggle World, Competitions GM: Gabor Fodor.
They talk about Gabor's journey into Data Science, Kaggle and his 10th Pos Solo Gold Finish on the Cornell Birdcall competition
Links:
Comp Link: https://www.kaggle.com/c/birdsong-recognition
Writeup: https://www.kaggle.com/c/birdsong-recognition/discussion/183407
Follow:
Gabor Fodor:
https://twitter.com/BelugaFodor
https://www.linkedin.com/in/gábor-fodor-6a081548/
https://www.kaggle.com/gaborfodor
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Luis Serrano: AI Content Creation, Teaching ML, Grokking ML #116
Video Version: https://youtu.be/n2bUu9AcGnE
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews one of his teachers, content creator and Quantum AI Research Scientist: Luis Serrano
In this episode, they talk about Luis' process of creating the amazing videos for anyone to enjoy on his YouTube channel, they talk about his process of creating this, his journey of teaching thousands, now millions of people through his content.
They also discuss about his book, his upcoming book titled Grokking Machine Learning, which is as you might expect him for anyone who's interested in machine learning, there are no prerequisites. This interview is filled with different golden advices someone with Luis' background of having taught so many people would have.
Links:
Grokking Machine Learning: https://www.google.com/search?client=safari&rls=en&q=Grokking+Machine+Learning&ie=UTF-8&oe=UTF-8
Follow:
Luis Serrano:
https://twitter.com/luis_likes_math
https://www.linkedin.com/in/luisgserrano/
https://serrano.academy
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
#GoogleAI #Research #MultiModal
Jacqueline Nolis & Emily Robinson: Building a Career in Data Science #115
Video Version: https://youtu.be/-OSWCeo18vs
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews two amazing Data Scientists who've quite literally authored a book on Building a Career in Data Science: Jacqueline Nolis and Emily Robinson.
Both of the amazing heroes on this episode have worked across different industries, and have written amazing blog posts. They've also written a book quite literally on the topic of building a career in data science. It covers topics that aren't usually discussed almost anywhere, have the soft skills side of things and things you learn in your jobs over the years.
Links:
https://www.manning.com/books/build-your-career-in-data-science?a_aid=buildcareer&a_bid=76784b6a
http://podcast.bestbook.cool
Follow:
Jacqueline Nolis:
http://twitter.com/skyetetra
Emily Robinson:
https://twitter.com/robinson_es
https://www.linkedin.com/in/robinsones/
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Catherine Nelson & Hannes Hapke: Building ML Pipelines #114
Video Version: https://youtu.be/wxVGu8vKvG8
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the authors of the book "Building ML Pipelines": Catherine Nelson and Hannes Hapke
Catherine is a data scientist at SAP concur labs. And Hannes is an ML Engineer in the same company.
They talk about the journey into machine learning and the journey into this world of building machine learning pipelines, they dive into depth about the book, covering:
- Who's the book really for?
- What does it cover?
- What can you expect out of it?
Links:
https://www.buildingmlpipelines.com
Follow:
Catherine Nelson:
https://twitter.com/drcatnelson
Hannes Hapke:
https://twitter.com/hanneshapke
hanneshapke.github.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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Jeff Heaton: Creating AI Content, Kaggle and Teaching #113
Video Version: https://youtu.be/nShflQj5RXY
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews a Content Creator, Educator, Data Scientist and Kaggler: Jeff Heaton
Jeff is currently VP at RGA, and an amazing content creator on YouTube, he puts out videos almost every week in the realm of machine learning, broadly speaking. He's also an adjunct professor at Washington University, they talk about his journey, into machine learning, data science kaggle, content creation, how he got started across all of these different things.
Follow:
Jeff Heaton:
https://twitter.com/jeffheaton
https://github.com/jeffheaton
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Ken Jee: Creating AI Content, Sports Analytics, Data Science Community #112
Video Version: https://youtu.be/UmEFK4RinUU
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Data Scientist, Content Creator: @Ken Jee
They talk about his journey into Data Science, Creating content and Sports Analytics. They discuss what Ken has learned via creating content and how does his experience tie in together with everything he has been doing.
Follow:
Ken Jee:
http://twitter.com/kenjee_ds
https://kennethjee.com
https://www.linkedin.com/in/kenjee/
https://www.youtube.com/channel/UCiT9RITQ9PW6BhXK0y2jaeg
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Philipp Singer & Christof Henkel: Google Landmark Recognition 1st Pos Sol #111
Video Version: https://youtu.be/NRl3lMlixPc
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews two Kaggle legends: Philipp Singer and Christof Henkel about their team's Winning Solution to the Google Landmark Recognition 2020 Kaggle competition.
This interview is a continued conversation with both of the legends, please find the older interviews to know more about their journey and watch this one for their winning solution and Christof's wisdom :D
Links:
Winning Writeup: https://www.kaggle.com/c/landmark-recognition-2020/discussion/187821
Github Link: https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place
Paper Link: https://arxiv.org/abs/2010.01650
Prev Interviews:
Psi:
NFL Data Bowl Win Sol: https://www.youtube.com/watch?v=_Srv0bKmfjY
IEEE-CIS Comp 6th Pos Sol: https://www.youtube.com/watch?v=7sh5QrUIAHI
Jigsaw & Tweet Sentiment: https://youtu.be/_X6wl0CX8xA
Christof Henkel:
Google Quest Q&A Labelling Comp 2nd Pos Sol: https://www.youtube.com/watch?v=Q0_Xajic_9U
Follow:
Philipp Singer:
https://twitter.com/ph_singer
https://www.kaggle.com/philippsinger
Christof Henkel:
https://twitter.com/kagglingdieter
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Thomas Wolf: NLP at Hugging Face, Transformers #110
Video Version: https://youtu.be/invR7r7c_pU
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews another NLP Hero from 🤗, the CSO: Thomas Wolf.
They talk about Thomas's journey into the field, Thomas has worked across many different fields, and they connect the dots of how he followed his passions leading towards finally now NLP and the world of transformers.
They talk about his research work and his work at hugging face. Thomas shares his overview of the pipelines that he works on at hugging face, the resources that he contributes to, and the project that he at the time of recording was involved in. There are many great advices on how to get started in NLP and in the world of machine learning as well.
Links:
https://huggingface.co
https://twitter.com/huggingface
Follow:
Thomas Wolf:
https://twitter.com/Thom_Wolf
https://www.linkedin.com/in/thomas-wolf-a056857
https://thomwolf.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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Ian Ozsvald: High Performance Python, Teaching & Consulting in ML #109
Video Version: https://youtu.be/I7376Wl8JQ4
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the Chief Data Scientist at Mor consulting and an author of High Performance Python with O'Reilly: Ian Ozsvald.
They talk all about his rich experience in Python and in data science, broadly speaking.
Ian shares a lot of insights that he's picked up along his journey while working on so many rich projects, so many projects across different consulting tasks, different consulting missions that he's taken up.
They also touch upon his book: who should pick read the book, and what will they get out of it. Ian also broadly shares many amazing advices that he has learned over over all of these years.
Links:
https://www.oreilly.com/library/view/high-performance-python/9781492055013/
Follow:
Ian Ozsvald:
https://twitter.com/ianozsvald
https://www.linkedin.com/in/ianozsvald/
https://ianozsvald.com
https://morconsulting.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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Tim Dettmers: Which RTX 3000 GPU to get for DL? 3090 FAQ | CTDS.Show #108
Video Version: https://youtu.be/CaoQLrSBk0o
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
This episode, which is an excerpt from Sanyam Bhutani's complete interview with Tim Dettmers
In this small excerpt, they discuss the RTX 3000 FAQs:
- Should you buy these?
- Which ones should you buy?
- How can you make two of these work together?
- Are they slower than the expected Quadro Cards?
Links:
https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/
Follow:
Tim Dettmers:
https://twitter.com/tim_dettmers
https://timdettmers.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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Kun Hao Yeh: SIIM ISIC Melanoma 14 Pos Sol | Journey to Becoming Kaggle Master | CTDS.Show #107
Video Version: https://youtu.be/XoHYqL_LlWs
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Kaggle Master and Sr. Software Engineer: Kun Hao Yeh.
They Talk about their team's 14th pos gold solution to the SIIM ISIC Melanoma Classification Comp.
They also discuss Kun Hao's journey from taking one of the courses by Marios to teaming up with him along with many Kaggle Tips & Tricks
Links:
Wining Sol: https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/175403
Interview with Marios: https://www.youtube.com/watch?v=A3GvuHqGGZI
Follow:
Kun Hao Yeh:
https://www.linkedin.com/in/michaelkhyeh/
https://www.kaggle.com/khyeh0719
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
#Fastai #Learning #PyTorch
Jose Fernandez Portal & Francisco Ingham | Approaching Fast.ai | ML Community | CTDS.Show #106
Video Version: https://youtu.be/ZrXaY3tdXuc
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews two of his mentors, peers from fast.ai, DL Engineers at Mercado Libre: Jose Fernandez Portal and Francisco Ingham.
This episode is a lot about making a transition into the field: Learning via fast.ai, and how to foster a community similar to fast.ai in your local region, the importance of this, Jose and Francisco both have taken the course have shared a similar journey and share a lot of interesting advices along these lines on how you should approach the material, make the most out of it. How should you plan your time around it, and how should you find the projects to pursue.
Links:
Combining Tabular data & speech: https://forums.fast.ai/t/share-your-work-here/27676/526
SGD Animator: https://forums.fast.ai/t/share-your-work-here/27676/300
Learning AI: My Journey by Francisco: https://medium.com/@fpingham/learning-ai-my-journey-d99f47ba79f
Follow:
Jose Fernandez Portal:
https://twitter.com/joshfp
https://www.linkedin.com/in/josefp/
Francisco Ingham:
https://twitter.com/fpingham
https://medium.com/@fpingham
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
Habib Bukhari & Igor Zubarev | Kaggle PANDA Challenge: 2nd Pos Sol | Gold Medalling on Kaggle | CTDS.Show #105
Video Version: https://youtu.be/UVZm2gEZhtA
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews two amazing Kagglers, Kaggle Masters: "DrHB" & "CatEek": Habib Bukhari & Igor Zubarev.
They discuss their team's second position in the PANDA competition, The competition stands for Prostate cANcer graDe Assessment.
Their team, "Save the prostate" ranked second in the private leaderboard, they discuss about the journey into machine learning and kaggle. They connect the dots of how both of them got interested in ML and in kaggle, How did they get addicted to the platform.
They discuss about their approach to competitions, the teaming up approach, and their solution overview.
Links:
https://www.kaggle.com/c/prostate-cancer-grade-assessment
https://www.kaggle.com/c/prostate-cancer-grade-assessment/discussion/169108
Follow:
Habib Bukhari:
https://twitter.com/dr_hb_ai
https://www.kaggle.com/drhabib
Igor Zubarev:
https://www.kaggle.com/cateek
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Marie-Anne Lachaux | Unsupervised Translation of Programming Languages | FAIR | CTDS.Show #104
Video Version: https://youtu.be/dIejo08k9mI
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Research Engineer at FAIR: Marie-Anne Lachaux.
They discuss the joint work shared by Marie-Anne, "Unsupervised translation of programming languages"
If you're unaware: it's an amazing, mind-blowing work demonstrating how to translate code from one language to another.
They. dive into her research and her journey into the field along with how research projects are approached at FAIR Labs.
Links:
Unsupervised Translation of Programming Languages: https://arxiv.org/abs/2006.03511
Follow:
Marie-Anne Lachaux:
https://twitter.com/malachaux
https://www.linkedin.com/in/marieannelachaux/
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
Lavanya Shukla | Journey from coding websites at age 10 to Applying ML | CTDS.Show #103
Video Version: https://youtu.be/fOEG6EpAsLI
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the Head of Growth at Weights & Biases: Lavanya Shukla
Lavanya Shukla has a very interesting journey into machine learning and programming, they talk all about how she started programming at the age of 10 built amazing websites through a dial up connection in India, and over the years improved her skills, eventually joining a computer science degree programme and dropping out of it and then finding her passion for machine learning.
They also talk a lot about general advices on how should you progress in your programming and machine learning journey.
Links:
Weights and Biases: https://www.wandb.com
Follow:
Lavanya Shukla:
https://twitter.com/lavanyaai
https://lavanya.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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Alexey Grigorev | Machine Learning BookCamp | ML at Scale | Data Science at OLX | CTDS.Show
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 Comp Master, Lead Data Scientist at OLX Group: Alexey Grigorev.
They talk about his experience of transitioning into ML, how he did it, how was kaggle helpful.
Alexey shares a very honest overview of how his university how how much his university was helpful or not, and how was Kaggle helpfu
They also discuss Alexey's upcoming book: Machine Learning Bookcamp.
Links:
https://www.manning.com/books/machine-learning-bookcamp
Follow:
Alexey Grigorev:
https://twitter.com/al_grigor
https://www.linkedin.com/in/agrigorev/?originalSubdomain=de
https://alexeygrigorev.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
#Scale #OLX #MachineLearning
Bryan Catanzaro | Research at NVIDIA | RTX 3000 | Deep Learning | CTDS.Show #101
GTC Conference tickets giveaway details: https://twitter.com/bhutanisanyam1/status/1306637737592840193?s=20
Video Version: https://youtu.be/guJT5GOiNjA
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the VP of Applied Research at NVIDIA: Bryan Catanzaro
They talk about Bryan's journey into ML and his journey at NVIDIA as a proxy to understanding the evolution of research being done at NVIDIA.
They discuss how Bryan's work led to the creation of CuDNN and what tasks he is involved in
Towards the later end, they also briefly discuss the recently launched RTX 3000 Series.
Follow:
Bryan Catanzaro:
https://twitter.com/ctnzr
https://ctnzr.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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
#NVIDIA #RTX3000 #Research
Sudalai Rajkumar, SRK | Journey to becoming 3x Kaggle GM | Datasets | CTDS.Show #100
Video Version: https://youtu.be/VPdmamFR6y8
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the SRK of Kaggle, 3x Kaggle Grandmaster and Data Scientist at H2O.ai: Sudalai Rajkumar.
This interview is a Part-2 of the previous blog interview, they talk about SRK's journey to becoming 3x Kaggle GM along with his journey in Data Science and Kaggle.
SRK shares many solid suggestions for people getting started in Data Science and Kaggle as well as for people with a "Non-Traditional" Background
Links:
Prev Interview: https://hackernoon.com/interview-with-twice-kaggle-grandmaster-and-data-scientist-at-h20-ai-sudalai-rajkumar-cd952ef0c522
Follow:
SRK:
https://twitter.com/sudalairajkumar
https://www.kaggle.com/sudalairajkumar
http://linkedin.com/in/sudalairajkumar
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
Sara Hooker | Research at Google AI | Interpretability and Model Compression | CTDS.Show #99
Video Version: https://youtu.be/O7JwKAv99_M
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Research Scholar at Google brain: Sara Hooker.
Sara has an amazing background and a "non-traditional" path into research. They talk all about her journey into research into machine learning. Sara is still very much connected to her roots, she's from Africa, and she shares her amazing perspective on how different problems, different constraints can contribute to the field, research, or otherwise in interesting ways.
Towards the end they also briefly dive into her recent works.
Links:
Underrated ML: https://www.underratedml.com
Selective Brain Damage: Measuring the Disparate Impact of Model Pruning: https://arxiv.org/pdf/1911.05248
Follow:
Sara Hooker:
https://twitter.com/sarahookr
https://www.sarahooker.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
Adrian Rosebrock | The PyImageSearch Story | OpenCV, Deep Learning & Optical Character Recognition
Video Version: https://youtu.be/wyfROwJUW-Y
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the Computer Vision Guru, Chief at PyImageSearch: Dr. Adrian Rosebrock.
This interview is part-2 of Sanyam's blog interview with Adrian. They talk about Adrian's journey into CV and ML. They also discuss the secrets of PyImageSearch HQ and how the amazing tutorials are created.
They also talk about Adrian's upcoming OCR Book and the importance of OCR.
Links:
OCR Book (Indiegogo link): https://www.indiegogo.com/projects/ocr-with-opencv-tesseract-and-python/
PyImageSearch: https://www.pyimagesearch.com
Courses and Books by Adrian: https://www.pyimagesearch.com/books-and-courses/
Previous Interview: https://hackernoon.com/interview-with-the-author-of-pyimagesearch-and-computer-vision-practitioner-dr-adrian-rosebrock-e00583a225a0
Follow:
Adrian Rosebrock:
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
#OpenCV #PyImageSearch #ComputerVision
Anastasiia Mishchuk | Applying Kaggle to Research | Learning ML | CTDS.Show #97
Video Version: https://youtu.be/o-2NJWKWwdA
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In this episode, Sanyam Bhutani interviews Computer Vision Research Engineer at EPFL: Anastasiia Mishchuk
They talk about her journey into research, into engineering, and also on kaggle. Anastasiia is a kaggle competition master: They talk about her perspective on kaggle and also dive into her process of approaching research problems and discuss one of her recent works.
Follow:
Anastasiia Mishchuk:
https://twitter.com/Ana_Geneva
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
Dima Damen | Action & Video Recognition | Epic-Kitchens-100 | CTDS.Show #96
Personal Note: This is one of the best interviews that I've had the privilege of conducting. Every single answer by Dima, every single qoute is simply, golden.
Video Link: https://youtu.be/GXqq_hj-UuY
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews an associate professor at the University of Bristol and CV researcher with interests in action recognition and video recognition: Dr. Dima Damen
They talk about her journey into the field and her research, what she's learned from working with so many students advising PhD, Masters and undergrad students and about how she teaches computer vision.
They discuss her recent works on action recognition, along with kitchens 100 data set that she's recently created.
Links:
Epic-Kitchens-100 Webpage: https://epic-kitchens.github.io/2020-100
Epic-Kitchens-100 Trailer: https://www.youtube.com/watch?v=8IzkrWAfAGg
Follow:
Dima Damen:
https://twitter.com/dimadamen
https://www.linkedin.com/in/dimadamen/
http://people.cs.bris.ac.uk/~damen/
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
Andrey Kurenkov | Lessons from Grad School | TheGradient.pub | Stanford Research | CTDS.Show #95
Video Version: https://youtu.be/NrkfNqz5w7M
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews PhD Student at Stanford, AI and vision lab: Andrey Kurenkov
This interview is a more critical take on research and different aspects of Andrey's research. They talk about what he's learned through his mistakes at grad school.
They also discuss about TheGradient.pub, and Andrey's process of writing.
Links:
"All my failures in Grad School": https://www.youtube.com/watch?v=uxYpJ5mMKx0
Follow:
Andrey Kurenkov:
https://twitter.com/andrey_kurenkov
https://www.andreykurenkov.com
https://www.linkedin.com/in/andreykurenkov/
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
Fatma Guney | Unsupervised Learning of Multi-Frame Optical Flow w Occlusions | 3D CV | CTDS.Show #94
Video Version: https://youtu.be/Fc6IEqEEpZw
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In this episode, Sanyam Bhutani interviews Computer Vision Researcher: Fatma Guney
They talk all about Computer Vision, her research interests: optical flow and even beyond, self driving cars.
Fatma has also taught a few courses based on computer vision and they dive into her take on what should students focus on in this field.
Links:
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions: http://www.cvlibs.net/publications/Janai2018ECCV.pdf
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data:
http://www.cvlibs.net/publications/Janai2017CVPR.pdf
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of the-Art:
https://arxiv.org/abs/1704.05519
Follow:
Fatma Guney:
https://twitter.com/ftmguney
https://mysite.ku.edu.tr/fguney/
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
Ahmet Erdem | Trends Neuroimaging 7th place solo gold | Rapids.ai | CTDS.Show #93
Video Version: https://youtu.be/G1ZvjJYRxH8
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews a Kaggle Grandmaster from Turkey, Sr. Software Engineer at Rapids.ai: Ahmet Erdem
They talk all about Ahmet's Kaggle journey, and his seventh place solo gold solution to the Trends Neuroimaging competition.
Ahmet has been competing for a few years now, they discuss his approach to Kaggle which has led him to achieving 50% medals solo versus 50% in a team.
Links:
Interview with Even Oldridge: https://www.youtube.com/watch?v=-WzXIV8P_Jk
7th Place Solution writeup: https://www.kaggle.com/c/trends-assessment-prediction/discussion/162787
Follow:
Ahmet Erdem:
https://twitter.com/a_erdem4
https://www.linkedin.com/in/aerdem4/
https://www.kaggle.com/aerdem4
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
Abhishek Thakur | Approaching (Almost) any ML Problem | CTDS.Show #92
Video Version: https://youtu.be/zgC8fjF0Now
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Abhishek Thakur for the 2nd time!
They talk about his book: Approaching (Almost) any ML Problem, Abhishek's process to creating Videos and his process to writing the book.
They also discuss on how to effectively approach Kaggle and Abhishek shares many advices that are applicable to Kaggle.
Links:
Previous Interview: https://www.youtube.com/watch?v=Ezbo57Z33N8
Follow:
Abhishek Thakur
Twitter: https://twitter.com/abhi1thakur
YouTube: https://www.youtube.com/channel/UCBPRJjIWfyNG4X-CRbnv78A
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
Guanshuo Xu | Achieving #1 Rank in Kaggle Competitions Tier | Alaska2 Winning Sol | CTDS.Show #91
Video version: https://youtu.be/lkUhibNLMNk
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Data Scientist at H2O.ai, the new King of Kaggle Competitions, new Rank 1: Dr. Guanshuo Xu
Guanshuo has just secured the title with his win in Alaska2 Image Steganalysis competition, in his journey he has achieved 15 gold medals, 15 silver medals, out of these 10 are solo gold 13 are solo Silver!
They talk about his journey on Kaggle, he shares a few advices around how you should approach Kaggle, and how his approach has changed, how he approaches competition and how he learned over the period of competing on Kaggle.
They also briefly discuss his solution to the Alaska2 competition as a proxy to understanding his approach to competitions.
They also talk about his role at H2O.ai and the projects that he is contributing to.
Links:
Alaska2 Comp Page: https://www.kaggle.com/c/alaska2-image-steganalysis/discussion
Solution Writeup: https://www.kaggle.com/c/alaska2-image-steganalysis/discussion/168548
Follow:
Dr. Guanshuo Xu:
https://www.linkedin.com/in/guanshuo-xu/
https://www.kaggle.com/wowfattie
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