79 episodes

Chai Time Data Science show is a Podcast + Video + Blog based show for interviews with Practitioners, Kagglers & Researchers and all things Data Science

This is also a “re-start” or continuation of the “Interview with Machine Learning Heroes Series” by Sanyam Bhutani.

Chai Time Data Science Sanyam Bhutani

    • Technology
    • 4.7, 7 Ratings

Chai Time Data Science show is a Podcast + Video + Blog based show for interviews with Practitioners, Kagglers & Researchers and all things Data Science

This is also a “re-start” or continuation of the “Interview with Machine Learning Heroes Series” by Sanyam Bhutani.

    Interview with Yauhen Babakhin | Kaggle, Computer Vision and AutoML | CTDS.Show

    Interview with Yauhen Babakhin | Kaggle, Computer Vision and AutoML | CTDS.Show

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

    In this episode, Sanyam Bhutani interviews Kaggle Grandmaster and Data Scientist at H2O.ai: Yauhen Babakhin.

    They talk about Yauhen's roots in Belarus and some secrets of his and his approaches to Kaggle competition and his approach to auto ML.

    They discuss a lot about how Yauhen approach these problems, how he finds ideas and how he iterated upon them. They also covered an interesting area that Yauhen has contributed to via Kaggle which is academia.

    Links:

    Interview by Parul Pandey: https://www.h2o.ai/blog/meet-yauhen-the-first-and-the-only-kaggle-grandmaster-from-belarus/

    Paper: https://arxiv.org/pdf/1904.04445.pdf

    Yauhen's talk from H2O World: https://youtu.be/gRraEabTX3o

    Blog version: https://www.h2o.ai/blog/image-tasks-on-h2o-driverless-ai/

    Follow:

    Yauhen Babakhin:

    Linkedin: https://www.linkedin.com/in/yauhenbabakhin/

    Kaggle: https://www.kaggle.com/ybabakhin

    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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    • 1 hr 5 min
    Birthday Special AMA: Answering Questions from my ML Heroes | CTDS.News Launch

    Birthday Special AMA: Answering Questions from my ML Heroes | CTDS.News Launch

    Check out the CTDS.News Teaser, live now: http://ctds.news

    Blog for this video and news launch will go live here: https://medium.com/@init_27

    This is a special birthday AMA episode, hope you enjoy this one. Feel free to AMA in the comments below.

    I'm really thankful to everyone that sent their questions and wishes and agreed to this idea. Thank you!

    Follow:

    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: The giveaway isn't sponsored, I really enjoyed the book and want to share it with another learner who might.

    #Birthday #AMA #ML


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    • 1 hr 6 min
    Emmanuel Ameisen | Building Machine Learning Powered Apps

    Emmanuel Ameisen | Building Machine Learning Powered Apps

    Link to tweet for details on Giveaway: https://twitter.com/bhutanisanyam1/status/1264589958146174976?s=20

    Video Version: https://youtu.be/ctss0hcD9SE

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

    In this episode, Sanyam Bhutani interviews Emmanuel Ameisen, ML engineer at Stripe, and the author of the O'Reilly book: "Building Machine Learning Powered Applications: Going from idea to product"

    In this interview they talk about Emmanuel's journey into machine learning, and how his journey through the different roles led him to writing the book.

    The book is one of the greatest resources for the title for Building ML Apps, and also one of the greatest top down learning books that follow the top down teaching approach.

    They talk about who the book is a really for, what can you expect out of it and Emanuel's journey of writing to Book and where to go after you've read the book, How do you find your idea to take to project your passion project or your million dollar app idea.

    Links:

    Book: https://www.amazon.com/Building-Machine-Learning-Powered-Applications/dp/149204511X/

    http://shop.oreilly.com/product/0636920215912.do

    Radek's blog: https://medium.com/@radekosmulski

    Follow:

    Emmanuel Ameisen:

    https://twitter.com/mlpowered

    https://mlpowered.com

    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: The giveaway isn't sponsored, I really enjoyed the book and want to share it with another learner who might.


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    • 58 min
    Eli Stevens, Luca Antiga, and Thomas Viehmann | Deep Learning with PyTorch

    Eli Stevens, Luca Antiga, and Thomas Viehmann | Deep Learning with PyTorch

    Link to tweet for details on Giveaway: https://twitter.com/bhutanisanyam1/status/1263500914427494400?s=20

    Discount code: "PodChai20"

    Video Version: https://youtu.be/f5Qv3eSZpug

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

    In this episode, Sanyam Bhutani interviews three great contributors to PyTorch: Eli Stevens, Luca Antiga, and Thomas Viehmann.

    The three are also authors of an upcoming book by Manning Publications: Deep learning with Pytorch

    In this interview, they talk about the authors' journey into machine learning and the journey with Pytorch towards the efforts into writing the book.

    They also discuss the book writing efforts, the authors share what can one expect from the book and what are you expected to have prepared before learning from the book and what can you take away from it.

    There is also a lot of great advice around project building, which is, is one of the essence to getting your break into the field.

    Links:

    Link to the book: https://www.manning.com/books/deep-learning-with-pytorch

    PyTorch: https://pytorch.org

    Follow:

    Eli Stevens:

    https://www.linkedin.com/in/eli0stevens/

    Luca Antiga:

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

    https://lantiga.github.io

    Thomas Viehmann:

    https://twitter.com/thomasviehmann

    http://thomas.viehmann.net

    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: Thanks to Manning Publication for doing the giveaway, note that manning hasn't sponsored the video in anyway, I'm a huge fan of their book and I'm grateful that they're doing a special giveaway + discount for the CTDS.Show audience

    #MachineLearning #PyTorch #Book


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    • 1 hr 17 min
    Goku Mohandas | MadeWithML | AI Research | Healthcare | Education

    Goku Mohandas | MadeWithML | AI Research | Healthcare | Education

    Video Version: https://youtu.be/VqysJmIqko8

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

    In this episode, Sanyam Bhutani interviews Goku Mohandas.

    They dive into the three aspects on Goku's personal profile: AI research. Health Care and Education

    They start by talking about Goku's journey into research how he got interested into machine learning. He shares many amazing advices for future aspiring researchers, followed by healthcare and machine learning.

    Education: Goku has recently started madewithmachinelearning.com his latest contribution to education machine learning education, Made with ML is a platform for discovering projects. organising projects and building projects, sharing them with the community. We really dive deep into what the platform is the philosophy behind it, and the future of it, and many upcoming features. Most of these would have been integrated by the time this interview goes out. So please do sign up if you get a chance.

    Personal Note: I really enjoyed talking with Goku, all of the interaction on all of the topics had really interesting golden nuggets.

    Follow:

    Goku Mohandas:

    https://twitter.com/GokuMohandas

    https://madewithml.com

    https://goku.me

    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


    ---

    Send in a voice message: https://anchor.fm/chaitimedatascience/message

    • 1 hr 35 min
    Dmitry Danevskiy | Google Quest Q&A Labelling Comp: Winning Sol | Becoming Kaggle Grandmaster

    Dmitry Danevskiy | Google Quest Q&A Labelling Comp: Winning Sol | Becoming Kaggle Grandmaster

    Video version: https://youtu.be/pQL892iT-dM

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

    In this episode, Sanyam Bhutani interviews Kaggle Grandmaster Dmitry Danevskiy.

    Dmitry's team whose team at the time of recording had just finished first on the Google quest q&a labeling Kaggle competition.

    With that gold medal Dmitry just achieved the title of becoming a Grand Master in the competition tier. They speak about his journey on Kaggle and into data science on this episode along with their first position solution to the Google quest competition.

    Dmitry is currently working as a machine learning specialist or machine learning research engineer they also discuss about his work, how Kaggle has impacted his work and his take on where does Kaggle help you in data science?

    Links:

    Winning sol writeup: https://www.kaggle.com/c/google-quest-challenge/discussion/129840

    Comp: https://www.kaggle.com/c/google-quest-challenge/overview

    Interview with Yury about mlcourse: https://www.youtube.com/watch?v=guvFOjxdeeA

    Follow:

    Dmytro Danevskyi:

    https://twitter.com/DanevskiyD

    https://www.linkedin.com/in/dmitry-danevskiy/

    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


    ---

    Send in a voice message: https://anchor.fm/chaitimedatascience/message

    • 33 min

Customer Reviews

4.7 out of 5
7 Ratings

7 Ratings

caseyjayner ,

Very well done

I met Sanyam on a slack channel and found him gracious and funny there- I’m happy to say that expands on his interview style. I love his enthusiasm and learning from him asking questions that I don’t yet know to ask. (Further- his music choice is great!) thank you Sanyam!

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