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

Chai Time Data Science Sanyam Bhutani

    • Technologie

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

    Top Kagglers Panel on Best Practises for Training Models

    Top Kagglers Panel on Best Practises for Training Models

    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.

    • 1 Std. 3 Min.
    Announcement + Amed Coulibaly | How to become Kaggle Competitions Grandmaster | #159

    Announcement + Amed Coulibaly | How to become Kaggle Competitions Grandmaster | #159

    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.

    • 1 Std. 2 Min.
    Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150

    Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150

    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

    • 53 Min.
    Kathleen Walch, Ronald Schmelzer: AI Today Podcast, Creating AI Content: #137

    Kathleen Walch, Ronald Schmelzer: AI Today Podcast, Creating AI Content: #137

    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.

    • 51 Min.
    ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136

    ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136

    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. 

    • 1 Std. 23 Min.
    "SentDex", Harrison Kinsley: YouTube, Entrepreneurship and NNFS.io #135

    "SentDex", Harrison Kinsley: YouTube, Entrepreneurship and NNFS.io #135

    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

    • 2 Std 20 Min.

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