Chai Time Data Science show is a series where Sanyam Bhutani interviews his Data Science Heroes: Practitioners, Kagglers & Researchers about all things Data Sci...
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://twitter.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.kaggle.com/ilu000
https://www.linkedin.com/in/pascal-pfeiffer/
Philipp Singer:
https://www.kaggle.com/philippsinger
https://twitter.com/ph_singer
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.
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1:03:36
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.
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1:02:36
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
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53:56
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.
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51:34
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.
Chai Time Data Science show is a series where Sanyam Bhutani interviews his Data Science Heroes: Practitioners, Kagglers & Researchers about all things Data Science
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