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
YT Channel: https://www.youtube.com/@ChaiTimeDataScience (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://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbE1mVUpUaGY2eExSaXU0ajBzeHdHUkwtWHYxZ3xBQ3Jtc0tsOXE5czlFVEZDSEplb3hhd2tYTTJzX3Nxa0lFM2JNNzkyMEYydjJHc05jLTd1eUsxZlJiei0yQVRURUFFU3JQLXExLUhYLXNfQlJIR0VBWm1tOWFnSEMwUVduM3R5Ykk5alplUEFpc3ZCTEZIWHZZOA&q=https%3A%2F%2Fwww.kaggle.com%2Fdott1718&v=_mzrfMA8Qx4)
https://twitter.com/dott1718 (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbEZ3em9MejUxeElLdUNCUE5NSl9kcDE1azBnZ3xBQ3Jtc0trUFA5MDNGc2doX0UtalBYVlAybGpuOU1XakFmbTA5T1FqbFIxQUdyQWdXSlBocHNaN2hBbmJ3ZVlSTjEzMGI4aFpxTDhHV1dES3dta3ppT3JBcmw4amREcjE1MEVwN3RQYWVwbWtZV0pxY0ZqZ3RHSQ&q=https%3A%2F%2Ftwitter.com%2Fdott1718&v=_mzrfMA8Qx4)
https://www.linkedin.com/in/dmitry-gordeev-50116023/?originalSubdomain=at
Gabor Fodor:
https://www.kaggle.com/gaborfodor (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbnpnRXRpWHJrUGYwXzJqU3pCUTl2ZXRXMHBWZ3xBQ3Jtc0trdXM2RWJUNXhTQURsYUZsZFZvT05MbGl3UVpySVRkSk16Y1JIVHl3TEZHaG1IX1UyZEJPQWJGV2xPNXVyeEdSMGtKR2xweVNGRlVmUG5rbWZ5U2hhODFMbFlqTmtnMGhHMmp4MHp6REJEdWVadWo5cw&q=https%3A%2F%2Fwww.kaggle.com%2Fgaborfodor&v=_mzrfMA8Qx4)
https://www.linkedin.com/in/gábor-fodor-6a081548/?originalSubdomain=hu
Pascal Pfeiffer:
https://www.kaggle.com/ilu000 (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbHdqeGtwMnFtLUd4b25fbWRmM2hlcFhwTDBoQXxBQ3Jtc0trSHFjZXEtLTRNeThYLS1tMU9wWV9GVmNzd2x3b1Rkb054OTdPejVESEo5djlwUUlodVVtemUwMXgtZGNMQnBzZnlxNjhEY3c3c09kZG15dGM0U3pGYS12VzZJUzI2NmhLRnZSOUFfWWhJWms3YWx5RQ&q=https%3A%2F%2Fwww.kaggle.com%2Filu000&v=_mzrfMA8Qx4)
https://www.linkedin.com/in/pascal-pfeiffer/
Philipp Singer:
https://www.kaggle.com/philippsinger (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbFV4aTVkLVdfSjJTdDRmZnNpc1RLckp6QmlQUXxBQ3Jtc0trdzViRWhBYkVMYldrMFdNcjRpemZ4Y1RUb1NsLTYtck12SURvZHg1bjQ5el96NzIzemtTV2lHeHU2SDJCSnZsemN1dHU3ckdXOGcwQ3BnY2UxaU14UElrU2Z5MW8zNmk4WlBGY21pWEVRdERMdHB4WQ&q=https%3A%2F%2Fwww.kaggle.com%2Fphilippsinger&v=_mzrfMA8Qx4)
https://twitter.com/ph_singer (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbHR2dE5sTVJlNHVSanBueW00QkUzWEVreXJWd3xBQ3Jtc0trQzNFXzR0LTdiMDNpWnRRWERvWldHazk4V3FoUWF2WXRhbVlsbWJsSEFaRkI1TGpzXzlYSjdOM2FaVm16eUR5eU9zdHVycWNJbTlPVUhzaS1fNkFicG1JLUpCOHhSWFpYLWplY1JYRjg3NnloM05kWQ&q=https%3A%2F%2Ftwitter.com%2Fph_singer&v=_mzrfMA8Qx4)
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.
29 Dec 2022
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.
23 Mar 2022
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 (https://twitter.com/jeremyphoward/status/1503920390447730690)
Video version: https://www.youtube.com/watch?v=g_6nQBsE4pU (https://www.youtube.com/watch?v=g_6nQBsE4pU)
Links from the show:
fastai Course: https://course.fast.ai (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 (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 (https://radekosmulski.gumroad.com/l/learn_deep_learning)
Rachel’s advice on Blogging: https://medium.com/@racheltho/why-you-yes-you-should-blog-7d2544ac1045 (https://medium.com/@racheltho/why-you-yes-you-should-blog-7d2544ac1045)
In the frame:
Jeremy Howard:
https://twitter.com/jeremyphoward (https://twitter.com/jeremyphoward)
Sanyam Bhutani:
https://twitter.com/bhutanisanyam1 (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
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
Apple Podcasts (US)
4.8 / 5
13 ratings
Contact Chai Time Data Science
Guest appearances
Books guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of Chai Time Data Science?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine
