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

Chai Time Data Science is a technology podcast hosted by Sanyam Bhutani, with 149 episodes on record and a Required Pod Score of 83. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Sanyam Bhutani hosts Chai Time Data Science, a technology show with 149 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #160

  Top Kagglers Panel on Best Practises for Training Models

  Jan 22, 20231h 4mS1

  <p>YT Channel: https://www.youtube.com/@ChaiTimeDataScience</p> <p>Learn more about H2O's Hydrogen Torch app here: https://h2o.ai/platform/ai-cloud/make/hydrogen-torch/</p> <p>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   </p> <p>Panelists:</p> <p>Dmitry Gordeev: </p> <p>https://www.kaggle.com/dott1718 </p> <p>http...

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  Episode #159

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

  Dec 29, 20221h 3mS1

  <p>Channel: http://youtube.com/c/ChaiTimeDataScience/</p> <p>Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani</p> <p>In this Episode, Sanyam Bhutani interviews Amed Coulibaly about his journey and reflection on reaching Kaggle Competitions Grandmaster.</p> <p>They also understand his team's 3rd place solution to recently ended Feedback competition</p> <p>Links:</p> <p>Solution: https://www.kaggle.com/competitions/feedback-prize-english-language-learning/discussion/369609</p> <p>Follow:</p> <p>Amed Coulibaly:</p> <p>Twitter: https://twitter.com/Amedprof</p> <p>Linkedin: https://www.linkedin.com/in/amed-coulibaly-94150610a/</p> <p>Kaggle: https://www.kaggle.com/amedprof</p> <p>...

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  Episode #150

  Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150

  Mar 22, 202254 minS1

  <p>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</p><p>Video version: https://www.youtube.com/watch?v=g_6nQBsE4pU</p><p>Links from the show:</p><p>fastai Course: https://course.fast.ai</p><p>How not to do fastai: https://medium.com/@init_27/how-not-to-do-fast-ai-or-any-ml-mooc-3d34a7e0ab8c</p><p>Meta Learning Book: https://radekosmulski.gumroad.com/l/learn_deep_learning</p><p>Rachel’s advice on Blogging: https://medium.com/@racheltho/why-you-yes-you-should-blog-7d2544ac1045</p><p>In...

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  Episode #137

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

  Oct 6, 202152 minS1

  <p>Video Version: https://youtu.be/qObfeWYbrPM</p><p>In this episode, Sanyam Bhutani interviews the hosts from AI Today Podcast: Kathleen Walch, Ronald Schmelzer</p><p>They talk about their journey into AI, creating AI Content, and the AI Today Podcast.</p><p>Links:</p><p>AI Today Podcast: https://www.cognilytica.com/aitoday/</p><p>Cognalytica: https://www.cognilytica.com</p><p>Follow:</p><p>Kathleen Walch:</p><p>Twitter: https://twitter.com/kath0134</p><p>Linkedin: https://www.linkedin.com/in/kathleen-walch-50185112/</p><p>Ronald Schmelzer:</p><p>Twitter: https://twitter.com/rschmelzer</p><p>Linkedin: https...

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  Episode #136

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

  Jul 31, 20211h 23mS1

  <p>Video Version: https://youtu.be/W3aWEXqIkWk</p><p><br></p><p>Blog Overview: http://sanyambhutani.com/interview-with-the-nvidia-acm-recsys-2021-winning-team</p><p><br></p><p>Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani</p><p><br></p><p>In this Episode, Sanyam Bhutani interviews a panel from the ACM RecSys Winning competition team at NVIDIA.</p><p>They explain why are RecSys systems such a hard problem, how can GPUs accelerate these, how do we productize such solutions.</p><p>The team also does a ground basic to a complete overview of their solution. They understand the team's approaches...

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