Chai Time Data Science

Latest Episodes:

Top Kagglers Panel on Best Practises for Training Models Jan 22, 2023

Show notes

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.

Announcement + Amed Coulibaly | How to become Kaggle Competitions Grandmaster | #159 Dec 29, 2022

Show notes

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 Mar 23, 2022

Show notes

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 Oct 06, 2021

Show notes

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 Jul 31, 2021

Show notes

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 Jul 23, 2021

Show notes

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 Jul 20, 2021

Show notes

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 Jan 07, 2021

Show notes

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 Jan 03, 2021

Show notes

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 Dec 31, 2020

Show notes

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

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