Video Version: https://youtu.be/C5DGFSDlMBM

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

In this episode, Sanyam Bhutani interviews a machine learning hero who's been inspiring and empowering many, many future heroes through their open source work: Ines Montani, co founder of explosion, the company behind spacy, prodigy and thinc.ai.

They talk about all of the amazing work that is, and the team at explosion has been doing, her journey into the field of programming her journey into the field of NLP and her journey at explosion.

They talk about all these things, all these three things along with all of the amazing work that Explosion has been putting out. Yes, Spacy, prodigy and thinc.ai, thinc,ai is the latest framework that has been put out along with open source development and the NLP industry.

Personal Note: Yes, those are a lot of things that have been All (Luckily for us), been covered in this single podcast! This has been a treat for me & I hope you enjoy it as much as I did.

Links:

https://explosion.ai/about

https://spacy.io

https://prodi.gy

https://thinc.ai

Follow:

Ines Montani:

https://twitter.com/_inesmontani

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

https://ines.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.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

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

Video Version: https://youtu.be/TzgHNJN8D3I

Subscribe to the newsletter for updates: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Suzana Ilić who's currently a PhD student in the domain of NLP and also the co founder and director of Machine Learning Tokyo.

In this interview they discuss about Suzana's journey into machine learning and how she discovered her passion for machine learning and NLP. They also discuss all about her efforts to democratize AI through her awesome community efforts & about Machine Learning Tokyo community.

How community building can help you take away many skill sets or personal growth aspects: Suzana shares her journey as the co founder of Machine Learning Tokyo.

They discuss an important topic, about inclusivity in AI in community. Fostering an environment that encourages beginners while also being inclusive to a huge extent. Machine learning Tokyo has been a platform for open science, open education and open project development discuss about all of these three aspects including the projects, research, and education that has come out of it.

Follow:

Suzana Ilić:

https://twitter.com/suzatweet

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

https://github.com/suzana-ilic

Machine Learning Tokyo:

https://www.meetup.com/Machine-Learning-Tokyo/

https://mltokyo.ai

https://github.com/Machine-Learning-Tokyo

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

Video Version: https://youtu.be/eEYvgsUeEgw

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

In this episode, Sanyam Bhutani interviews founder and CEO at decision.ai: Dan Becker, you might know Dan as the creator of Kaggle learn where he enabled, or actually democratised a lot of machine learning courses that he created on kaggle.com/learn.

In this episode, they talk all about Dan's journey into the field. Dan's work at Kaggle, where he created Kaggle learn. They talk a lot about MOOCs: open online courses. What does it take to become a data scientist? And how can MOOCs come into the picture for you? How can you think of ideas or projects that can help you build a portfolio?

They also talk about Dan's new venture: decision.ai, which he's just recently started, Dan already has been a contributor to Keras and TensorFlow and has done projects, consulting projects for six companies in the Fortune 100 list of companies. They of course, talk about how that was helpful in Dan's new journey.

Links:

https://decision.ai/example

https://decision.ai

https://www.kaggle.com/learn/overview

Follow:

Dan Becker:

[email protected]

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

https://twitter.com/dan_s_becker

https://www.kaggle.com/dansbecker

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

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

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

In this episode, Sanyam Bhutani interviews legendary Kaggle GrandMaster: Mark Landry.

They talk all about Mark's journey into machine learning:

How he got interested in machine learning? How did he discover Kaggle? His addiction for Kaggle? How his approach on Kaggle has evolved over all of these years that he's been active on the platform?

They talked about his journey at h2o: he's been at h2o.ai for a few years now. They also talk about auto ML, we reveal interesting story: AutoML at h2o.ai was originally called AutoMarkLandry. And there's a lot of discussion around data science on and off Kaggle, how to approach Kaggle or data science problems.

This one is all about data science, Kaggle, and h2o.ai but it's true to the three words, they talk all about these three words and Mark's journey in all of these three.

Follow:

Mark Landry:

https://twitter.com/mark_a_landry

https://www.linkedin.com/in/mark-landry-78b863a/

https://www.kaggle.com/mlandry

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

Video Version: https://youtu.be/lWwkbiufwNE

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

In this episode, Sanyam Bhutani interviews Dmytro Mishkin, who's currently a computer vision researcher and PhD student at the Czech Technical University in Prague.

They talk all about Dmytro, his journey into deep learning and his journey into research. Dmytro has put out some amazing research work over the past few years, and they talk about how he approaches research in general, his take on research and his suggestion to future aspiring researchers.

Dymtro is an active Kaggler and he has accomplished amazing results on many competitions/ This interview covers a lot of ideas around education, research, and practice.

Follow:

Dmytro Mishkin:

https://twitter.com/ducha_aiki

http://cmp.felk.cvut.cz/~mishkdmy/

https://www.kaggle.com/oldufo

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

Video available here: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

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

In this special version of the podcast, Sanyam Bhutani is in conversation with the complete SharpestMinds team: Edouard Harris, Russell Pollari and Jeremie Harris.

They talk a lot about learning to learn. The theme, broadly speaking, learning to learn applied to the business, the startup and the data science world.

They discuss multiple ideas of how to get a break into the data science field, how should you go about learning.

How should you go about putting projects on your resume of what projects to put on your resume and when you really know that you're ready for a job?

Links:

Interview with Ed: https://www.youtube.com/watch?v=69urmSt34Ac

SharpestMinds: https://www.sharpestminds.com

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

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

Follow:

Edouard Harris:

https://twitter.com/neutronsNeurons

https://medium.com/@edouard_harris

Russell Pollari:

https://twitter.com/russ_poll

https://www.linkedin.com/in/russell-pollari-b555895a

https://russellpollari.com

Jeremie Harris:

https://twitter.com/jeremiecharris

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

https://medium.com/@jeremie_sharpestminds

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

Previous Interview: https://hackernoon.com/interview-with-deep-learning-researcher-at-fast-ai-sylvain-gugger-7cb08fe2ff53

Video available here: https://youtu.be/-3fw9hxiop0

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

In this episode, Sanyam Bhutani interviews another hero from the fastai family: Sylvain who's a research scientist at fast.ai

In this interview they talk about a lot of exciting, upcoming developments from the fast.ai research lab, the framework, the book and the upcoming course.

The upcoming course will be released along with the book and the library as a MOOC later, around the middle of this year.

They discuss about what we can expect from the library, the course and the book. The efforts go into these and what topics is the book and the course going to cover is the newer version.

Links:

Fast.ai Course:

https://course.fast.ai

https://twitter.com/fastdotai

Book: http://shop.oreilly.com/product/0636920216391.do

https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527

Interview with Jeremy Howard: https://www.youtube.com/watch?v=205j37G1cxw

Follow:

Sylvain Gugger:

https://twitter.com/guggersylvain

https://sgugger.github.io/pages/about-me.html

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

Note: Correction from the intro: Erin is the *co-founder* of R-Ladies Global & Founder of WiMLDS.

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

In this episode, Sanyam Bhutani interviews one of the inspirations for the complete Machine Learning Community: Dr. Erin Ledell, chief machine learning scientist at H2O.ai.

Erin holds a PhD from UC Berkeley where her research was focused on machine learning and computational stats, and she has worked in the software industry before joining H2O.

They talk all about her journey into the field into starts machine learning and her journey at H2O along with h2o's open source products, h2o-auto ML.

Erin clarifies the question of the difference between h2o, h2o-3 and h2o auto ML, so please stay tuned if you're curious to find out the answer to that.

They discuss about her work at h2o.ai and Erin shares many great advisors and opinions about auto ML and software or software tools for data scientists or humans generally speaking,

Erin is the (co)-founder of Rladies and women in machine learning and data science. They talk about her contributions to the community and how can outsiders or just newcomers contribute to this.

Links:

http://wimlds.org

https://rladies.org

H2O:

https://www.h2o.ai

H2O Tutorials: http://docs.h2o.ai/h2o-tutorials/latest-stable/

https://github.com/h2oai/h2o-3

Follow:

Erin LeDell:

https://twitter.com/ledell

https://www.linkedin.com/in/erin-ledell/

https://github.com/ledell

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

Video available here: https://youtu.be/akYeBUTXmT4

Subscribe to the newsletter for updates: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dr. Russ Wolfinger, Director of scientific discovery and genomics at SAS, a department which he had started.

In this interview, they talk all about his journey into the field, how his Stats and software development evolved over the years.

Russ is also kaggle Grandmaster in the competition tier. They talk a lot about kaggle. His approach to kaggle his his viewpoints on kaggle, and best advice is to new big new joiners/beginners.

This interview is an amazing intersection of statistics, data science and data science applied to kaggle and the real world. We also talk a lot about kaggle as a platform for learning data science and applying your skills how to get better at kaggle and data science broadly speaking. So thank you to Russ for sharing all of those amazing advises!

Follow:

Dr. Russ Wolfinger:

https://www.linkedin.com/in/russ-wolfinger-5ab7999/

https://www.kaggle.com/sasrdw

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

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

Subscribe to the newsletter for updates: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews a researcher, practitioner and open source contributor: Sergey Kolesnikov, creator of catalyst, which is a deep learning and reinforcement learning framework based on Pytorch.

In this interview, they talk all about Sergey's journey into the field of machine learning and reinforcement learning. His thoughts about open source development and the story of catalyst, how the development of catalyst started the story behind it, and its current features, the ecosystem. And what all can it support.

They also talk a lot about the community in machine learning open data science community as well. Sergey shares many great advices about software engineering and open source development as well.

Follow:

Sergey Kolesnikov

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

https://t.co/ahXByAInFI?amp=1

Catalyst:

https://twitter.com/catalyst_core

https://github.com/catalyst-team/catalyst

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