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    Technology

    Chai Time Data Science

    Chai Time Data Science show is a series where Sanyam Bhutani interviews his Data Science Heroes: Practitioners, Kagglers & Researchers about all things Data Science

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    Copyright: © Sanyam Bhutani

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    Latest Episodes:
    Interview with "Inversion": Walter Reade | Data Science at Kaggle | Becoming a Data Scientist & Kaggle Grandmaster Mar 22, 2020
    Show notes

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

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

    In this episode, Sanyam Bhutani interviews a data scientist, but from the other side of the world, a data scientist at Kaggle, Walter Reade, also known as "Inversion" famously on Kaggle.

    Walter, was the first Kaggle discussions Grand Master. In this interview, they talk all about his journey into data science and on Kaggle how his journey into data science started via Kaggle.

    Walter holds a PhD in chemical engineering. This interview also talks a lot about the science in data science, how Walter has approached problems over the years. And also what does data science on the other side of Kaggle.

    Personal Note: I feel this is a very special interview in the sense that this time it's a Kaggle Grand Master that is a part of Kaggle's team.

    Follow:

    Walter Reade:

    https://twitter.com/walterreade

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

    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 Parul Pandey | Getting Started with Data Science & Blogging | Women in Data Science Mar 19, 2020
    Show notes

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

    In this episode, Sanyam Bhutani interviews Parul Pandey, data evangelist at h2o.ai and they talk all about what her role as a data evangelist means and her work at h2o.

    Personal Note: I've been a fan of her blog posts. And this podcast is all about her secrets to blogging along with all of the amazing things that she's been contributing to including meetups evangelising, or sharing amazing things on LinkedIn and Twitter.

    They discuss all about her journey into the field. Her advices to future aspirants.

    Parul is a great contributor to the women in Data Science community, and they discuss about WiDS and how can others who recognize the community, contribute towards it.

    Follow:

    Parul Pandey:

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

    https://twitter.com/pandeyparul

    https://t.co/qyR0tpZVnA?amp=1

    WiDS Hyderabad:

    https://twitter.com/WiMLDS_HYD

    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 ChristOf Henkel | Google Quest Q&A Labelling Comp 2nd Pos Sol | Rapids.ai & Kaggle Mar 15, 2020
    Show notes

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

    In this episode, Sanyam Bhutani interviews Kaggle Grandmaster, "Dieter": Christof Henkel.

    They talk a lot about his previous assumed life of having worked as a construction worker, about Christof's Kaggle experience how he got interested in Kaggle, his Kaggle journey, his Kaggle pipeline, and his recent second position solution to Google's quest competition.

    They also discuss Christof's new job at rapids.ai where he's just joined as a senior deep learning data scientist.

    Links:

    https://rapids.ai

    https://github.com/rapidsai

    https://www.kaggle.com/c/google-quest-challenge/discussion/129978

    Referenced Interviews:

    The Zoo: https://youtu.be/_Srv0bKmfjY

    Even Oldridge: https://youtu.be/-WzXIV8P_Jk

    Follow:

    Christof Henkel:

    https://twitter.com/kagglingdieter

    https://www.linkedin.com/in/dr-christof-henkel-766a54ba/

    https://www.kaggle.com/christofhenkel

    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 w John Miller | NFL 1st and Future: Analytics Winning Sol | "Real World Data Sci" & Kaggle Mar 12, 2020
    Show notes

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

    In this episode, Sanyam Bhutani interviews Kaggle Master & Senior Data Scientist: John Miller

    John Miller is one of the peoples similar from the league of guests on the show who started working in data science, even before it was called data science. And in this interview, they talk about his journey and how data science and his work has evolved.

    Over the years, John has contributed to different roles. And they talk about all of them, including his current work at h2o.ai.

    They also discussed his winning solution to the NFL first and future analytics Kaggle competition, where John had even created a real world impact via Kaggle competition, yes, via Kaggle competition even in the previous year where he had won the competition and his findings led to the change of a rule.

    Similar to last year, John has again won the competition this year as well. And they talked about his findings about the NFL and his discoveries while working on the competition.

    Links:

    https://www.kaggle.com/jpmiller/nfl-1standfuture-report

    https://www.linkedin.com/pulse/would-your-machine-learning-model-hold-up-court-john-miller/

    https://www.kaggle.com/c/nfl-playing-surface-analytics/discussion/126164

    https://www.kaggle.com/c/nfl-playing-surface-analytics/discussion/125977

    Follow:

    John Miller:

    https://twitter.com/johnmillertx

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

    https://www.kaggle.com/jpmiller

    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 Tarin Clanuwat | Classical Japanese Literature & ML | Kuzushiji recognition kaggle comp Mar 08, 2020
    Show notes

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

    In this episode, Sanyam Bhutani interviews Dr. Tarin Clanuwat, who's currently an assistant professor at the National Institute of Informatics in Japan.

    Tarin holds a PhD in Japanese literature and has followed-a traditional path in classical Japanese literature.

    Tarin has been doing some amazing research around Japanese literature including her work on Kuzushiji, they talk all about her background, her journey in classical literature and her journey in machine learning and her current research which is in the intersection of both.

    Links:

    https://www.youtube.com/watch?v=maR9ibJ2r7g

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

    https://scholar.google.com/citations?user=oGpFVUUAAAAJ&hl=en

    Follow:

    Tarin:

    https://twitter.com/tkasasagi/

    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


    08: Where to go from here, General fast.ai advice Mar 07, 2020
    Show notes

    This episode reviews Lesson 8 from fast.ai Part 1, 2019 and the Things Jeremy says to do

    About:

    The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

    Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

    Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

    Links:

    Take the course here: https://course.fast.ai

    Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

    Follow:

    fast.ai: http://twitter.com/fastdotai

    Jeremy Howard: http://twitter.com/jeremyphoward

    Robbert Bracco: https://twitter.com/MadeUpMasters

    Sanyam Bhutani: http://twitter.com/bhutanisanyam1


    07: fast.ai Lesson-7 ResNet; U-Net; GANs | fast.ai 2019 & Things Jeremy Howard says to do Mar 07, 2020
    Show notes

    This episode reviews Lesson 7 from fast.ai Part 1, 2019 and the Things Jeremy says to do

    About:

    The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

    Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

    Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

    Links:

    Take the course here: https://course.fast.ai

    Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

    Follow:

    fast.ai: http://twitter.com/fastdotai

    Jeremy Howard: http://twitter.com/jeremyphoward

    Robbert Bracco: https://twitter.com/MadeUpMasters

    Sanyam Bhutani: http://twitter.com/bhutanisanyam1


    06: fast.ai Lesson-6 CNN Deep Dive; Ethics | fast.ai 2019 & Things Jeremy Howard says to do Mar 07, 2020
    Show notes

    This episode reviews Lesson 6 from fast.ai Part 1, 2019 and the Things Jeremy says to do

    About:

    The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

    Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

    Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

    Links:

    Take the course here: https://course.fast.ai

    Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

    Follow:

    fast.ai: http://twitter.com/fastdotai

    Jeremy Howard: http://twitter.com/jeremyphoward

    Robbert Bracco: https://twitter.com/MadeUpMasters

    Sanyam Bhutani: http://twitter.com/bhutanisanyam1


    05: fast.ai Lesson 5: Backprop; Neural Nets from scratch | fast.ai 2019 & Things Jeremy Howard says to do Mar 07, 2020
    Show notes

    This episode reviews Lesson 5 from fast.ai Part 1, 2019 and the Things Jeremy says to do

    About:

    The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

    Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

    Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

    Links:

    Take the course here: https://course.fast.ai

    Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

    Follow:

    fast.ai: http://twitter.com/fastdotai

    Jeremy Howard: http://twitter.com/jeremyphoward

    Robbert Bracco: https://twitter.com/MadeUpMasters

    Sanyam Bhutani: http://twitter.com/bhutanisanyam1


    04: fast.ai Lesson-4 NLP:Tabular Data; Recsys | fast.ai 2019 & Things Jeremy Howard says to do Mar 07, 2020
    Show notes

    This episode reviews Lesson 4 from fast.ai Part 1, 2019 and the Things Jeremy says to do

    About:

    The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

    Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

    Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

    Links:

    Take the course here: https://course.fast.ai

    Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

    Follow:

    fast.ai: http://twitter.com/fastdotai

    Jeremy Howard: http://twitter.com/jeremyphoward

    Robbert Bracco: https://twitter.com/MadeUpMasters

    Sanyam Bhutani: http://twitter.com/bhutanisanyam1


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