Chai Time Data Science

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.

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.

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

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.

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.