Chai Time Data Science

Latest Episodes:

Interview with Sr. Director of Product at H2O.ai: Patrick Hall | Machine Learning, H2O.ai & Machine Learning Interpretability Feb 13, 2020

Show notes

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

In this episode, Sanyam Bhutani interviews Patrick Hall, Sr. Director of Product at H2O.ai. Patrick has a background in Math and has completed a MS Course in Analytics.

In this interview they talk all about Patrick's journey into ML, ML Interpretability and his journey at H2O.ai, how his work has evolved over the years. They talk a lot about MLI, ML Explainability and Model Debugging.

They also talk about how these ideas are implemented inside of h2o.ai and how can someone bring these ideas to their pipelines.

Links:

"Real-World Strategies for Model Debugging": https://medium.com/@jphall_22520/strategies-for-model-debugging-aa822f1097ce

An Intro to MLI Book: https://www.h2o.ai/wp-content/uploads/2019/08/An-Introduction-to-Machine-Learning-Interpretability-Second-Edition.pdf

"Why you should care about debugging machine learning models": https://www.oreilly.com/radar/why-you-should-care-about-debugging-machine-learning-models/

"Proposed Guidelines for the Responsible Use of Explainable Machine Learning": https://arxiv.org/pdf/1906.03533.pdf

Follow:

Patrick Hall:

https://twitter.com/jpatrickhall

https://www.linkedin.com/in/jpatrickhall/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: 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.

Flow by LiQWYD https://soundcloud.com/liqwyd

"Anokas": Mikel Bober-Irizar | Becoming The Youngest Kaggle Grandmaster | ML For Japanese Literature | Kaggle Feb 09, 2020

Show notes

Video version here: https://youtu.be/maR9ibJ2r7g

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the Youngest Kaggle Grandmaster, "Anokas": Mikel Bober-Irizar for the second time.

In this Interview, they talk all about Mikel's journey into Kaggle, ML and his current life as a CS Student. Note: He's 18 years old at the time of publishing and still the youngest person to achieve the GM Title in Comp Tier at the age of 17, as well as the youngest person to achieve the triple master title.

They discuss his Kaggle journey, into ML, and ML research where he has published very interesting work and even organised a Kaggle Comp in the intersection of ML & Japanese Literature.

Links:

https://hackernoon.com/interview-with-the-youngest-kaggle-grandmaster-mikel-bober-irizar-anokas-17dfd2461070

https://www.kaggle.com/anokas

https://www.kaggle.com/c/landmark-retrieval-challenge/discussion/57855

https://www.kaggle.com/c/kuzushiji-recognition

https://scholar.google.com/citations?user=UTgURoAAAAAJ

Follow:

Mikel Bober-Irizar:

https://twitter.com/mikb0b?lang=en

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

The Story of Kaggle & Kaggle's Evolution | Interview with the CEO of Kaggle: Anthony Goldbloom Feb 06, 2020

Show notes

Video Version available here: https://youtu.be/jw2Z-IMyFYw

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the CEO of Kaggle: Anthony Goldbloom.

Anthony has a background in economics and has been working on Kaggle, working on the other side of Kaggle as the CEO and co founder for almost over a decade now,

They talk about his journey as the co founder of Kaggle, and even Kaggle's journey broadly speaking over the few past few years. How Kaggle has evolved, how their perspective, how their team's perspective on Kaggle and the team itself has evolved from the start until the point even after it got acquired by Google.

This interview shares a lot of insights about the behind the scenes work that goes into Kaggle while hosting a competition, broadly speaking, or even putting out a new course on Kaggle learn.

They also discuss Kaggle's future plans and what's next and exciting for us as frequent Kagglers.

Follow:

Anthony Goldbloom:

https://twitter.com/antgoldbloom

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

Interview with Jason Antic | DeOldify | Fast.ai & NoGAN | Machine Learning & Software Engineering Feb 02, 2020

Show notes

In this episode, Sanyam Bhutani interviews Jason Antic: The creator and researcher at DeOldify for the second time.

In this interview, they talk all about Jason's software engineering experience, his software experience applied to deep learning, his journey with DeOldify, how he came up with the idea of DeOldify and how he kept on improving it.

They talk also broadly speaking a lot about software engineering practices and how those were helpful to Jason while working on DeOldify, fast.ai, and even the top down way of learning.

Reminder: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com

Video Version available here: https://youtu.be/A5Cq8SWudts

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

Links:

https://sanyambhutani.com/interview-with-the-creator-of-deoldify--fast-ai-student--jason-antic/

https://github.com/jantic/DeOldify

https://www.fast.ai/2019/05/03/decrappify/

https://www.instagram.com/america_in_color/

Follow:

Jason Antic:

https://twitter.com/citnaj

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

Rohan Rao | Numbers, Data Science & Kaggle | ASHRAE - Great Energy Predictor 2nd Pos Sol Jan 30, 2020

Show notes

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

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 Grand Master and Data Scientist at H2O.ai: Rohan Rao.

Rohan is a Kaggle Grand Master in the competition tier, and a data scientist, He has represented India not just in data science, but also in Sudoku and puzzles. He's a seven time and current national Sudoku champion, and the first Indian to be ranked in top 10 at the World Championship in 2012, where he secured the eighth position. Currently, his world rank is 17 and he's secured two podium finishes at Asian Sudoku championship. And he's a five time national puzzle champion with his current rank being 44th. Four time and current times natural Sudoku champion.

In this interview they talk all about his journey into data science, into data and numbers-his journey into the world of competitive sports, both on and off Kaggle.

In the off Kaggle journey we discuss his data science journey and on Kaggle will discuss how his approach to Kaggle has changed over the years, how it's evolved, and his current thoughts on the platform and tips and advice.

They also discuss his recent Eighth gold medal on Kaggle and his team's second position finish on the ASHRAE great energy prediction.

Links:

Interview with CPMP:https://www.youtube.com/watch?v=wqHlAOFSFuQ

2nd Pos Solution: https://www.kaggle.com/c/ashrae-energy-prediction/discussion/123481

KaggleDaysMeetup: https://sanyambhutani.com/kaggledaysmeetup-bangalore--recap-by-dsnet-team/

Follow:

Rohan Rao:

https://en.wikipedia.org/wiki/Rohan_Rao

https://twitter.com/vopani?lang=en

https://www.kaggle.com/rohanrao

https://www.linkedin.com/in/vopani/?originalSubdomain=in

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: 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.

Flow by LiQWYD https://soundcloud.com/liqwyd

Dmitry Gordeev & Philipp Singer | What does it take to win a Kaggle Comp? | NFL Data Bowl Win Sol Jan 26, 2020

Show notes

Reminder: This interview and all future will have fixed subtitles (on YouTube) for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com, Video posted here: https://youtu.be/_Srv0bKmfjY

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews The Two Lions from the Kaggle Team "The Zoo": Dmitry Gordeev, also known as the "dott" on kaggle. And Philipp Singer, the Psi on Kaggle

In this interview, they talk about first Dmitry's journey into data science and on kaggle. In the later half, about "The Zoo": Kaggle Team.

The zoo's journey both of their journey on kaggle. Together, their approach on teaming up their approach about winning a competition and they discuss about what does it really take to win a kaggle competition.

They also talk about their recent win on the NFL Big Data bowl competition.

Links:

Interview with Psi: https://youtu.be/7sh5QrUIAHI

Interview with Giba: https://youtu.be/MpYeDKw8EOg

Interview with CPMP: https://youtu.be/wqHlAOFSFuQ

NFL Big Data Bowl Winning Sol Writeup: https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119400

Follow:

Dmitry Gordeev:

http://twitter.com/dott1718

https://www.kaggle.com/dott1718

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

Kaggle Legend: Gilberto Titericz | Giba, Former #1 | Data Science & Kaggle Jan 23, 2020

Show notes

Reminder: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com

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 legend, Double Kaggle Grand Master and Former number one in Kaggle Competitions: Gilberto Titericz, aka Giba on Kaggle.

They talk all about Giba's journey into the field of data science broadly speaking, and also on Kaggle. Giba shares many amazing advises about Kaggle and also connect the dots for us of how those connect to the real world of data science.

There are many advices about Kaggle, about data science and how to get your first break into data science.

Links: https://www.youtube.com/watch?v=MvDoc6fwVWA

Follow:

Gilberto Titericz:

https://www.kaggle.com/titericz

https://twitter.com/giba1?lang=en

https://www.linkedin.com/in/gilberto-titericz-6601357/

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

Interview with Leland Wilkinson | Grammar of Graphics | Open Source, Statistics & Software Dev Jan 19, 2020

Show notes

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dr. Leland Wilkinson, one of the best statisticians and quite literally the author of the grammar of graphics, Chief Scientist at H2O.ai.

They talk all about Leland's journey into the field over the past few years his amazing contributions that need no introduction to the audience. His work at SYSTAT, followed by his work at Tableau and his current work at H2O.ai where again, he's working on very exciting projects.

They talk all about how software development has evolved all over these years and his current work at H2O, his take on the field, broadly speaking, and the interview of course includes many best advices for all of the beginners out there.

Follow:

Leland:

https://www.linkedin.com/in/leland-wilkinson-07a0b25/

https://en.wikipedia.org/wiki/Leland_Wilkinson

H2O.AI:

https://twitter.com/h2oai

https://www.linkedin.com/company/h2oai

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: 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.

Flow by LiQWYD https://soundcloud.com/liqwyd

Interview with Even Oldridge | Applied Research, Top Down Learning & Fast.ai | NVIDIA & Rapids.ai Jan 16, 2020

Show notes

Note to the listeners: Even's team is also hiring! If you're interested in bringing great ideas to the "GPU Ecosystem", please check:

https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Machine-Learning-Engineer--Recommender-Systems---RAPIDS_JR1926986

https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Applied-Research-Scientist--Recommender-Systems---RAPIDS_JR1926987

Reminder: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Even Oldridge, Senior Applied Research Scientist at Nvidia currently working on the rapids.ai team.

They talk all about Even's journey and Even's journey into fast ai, his thoughts around the course and many best advises for people just taking the course and following the top down way of learning new things.

They also talk a lot about his current work at rapid.ai. What rapids is currently working on including multiple projects, cudf, cuml, cugraph, and all of the little projects that sit inside of the rapids ai repository.

Links:

https://rapids.ai

https://course.fast.ai

https://medium.com/rapids-ai/accelerating-deep-learning-recommender-systems-by-15x-using-rapids-fastai-and-pytorch-b50b4d8568d1?source=---------0-----------------------

Links to referred interviews:

CPMP: https://www.youtube.com/watch?v=wqHlAOFSFuQ&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=7

Jeremy Howard: https://www.youtube.com/watch?v=205j37G1cxw&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=5

Andrew Shaw: https://www.youtube.com/watch?v=zbYeCWG9GIU&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=16

Christine Payne: https://www.youtube.com/watch?v=xwXIaDrQvwE&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=21

Follow:

Even Oldridge:

http://twitter.com/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.

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

Interview with x2 Kaggle GM: Dr. Olivier Grellier | Kaggle, Data Science & H2O.ai Jan 13, 2020

Show notes

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dr. Olivier Grellier, double Kaggle Grand Master, and Senior Data Scientist at H2O.ai.

Olivier holds a PhD in signal processing and has worked across multiple roles in different domains over the years, including that of a developer, project manager, and even in trading before getting into data science.

In this interview, they talk all about Olivier's journey over the past years. His data science journey, how he got started with data science, and Kaggle. They talk all about H2O.ai. His work at H2O.ai and his current projects, Olivier shares insights into Kaggle and Kaggle competitions.

They talk all about Kaggle as a learning platform and also as a platform for professional skill development.

Follow:

Olivier:

https://www.kaggle.com/ogrellier

H2O.AI:

https://twitter.com/h2oai

https://www.linkedin.com/company/h2oai

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: 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.

Flow by LiQWYD https://soundcloud.com/liqwyd

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