Kaggle, ML Community / Engineering (Sanyam Bhutani) episode artwork

EPISODE · Oct 28, 2020 · 1H 26M

Kaggle, ML Community / Engineering (Sanyam Bhutani)

from Machine Learning Street Talk (MLST)

Join Dr Tim Scarfe, Sayak Paul, Yannic Kilcher, and Alex Stenlake have a conversation with Mr. Chai Time Data Science; Sanyam Bhutani! 00:00:00 Introduction  00:03:42 Show kick off  00:06:34 How did Sanyam get started into ML  00:07:46 Being a content creator  00:09:01 Can you be self taught without a formal education in ML?  00:22:54 Kaggle  00:33:41 H20 product / job  00:40:58 Intepretability / bias / engineering skills  00:43:22 Get that first job in DS  00:46:29 AWS ML Ops architecture / ml engineering  01:14:19 Patterns  01:18:09 Testability  01:20:54 Adversarial examples  Sanyam's blog -- https://sanyambhutani.com/tag/chaitimedatascience/ Chai Time Data Science -- https://www.youtube.com/c/ChaiTimeDataScience

Episode metadata supplied by the publisher feed · Published Oct 28, 2020

Embed this episode

NOW PLAYING

Kaggle, ML Community / Engineering (Sanyam Bhutani)

0:00 1:26:59

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

Frequently Asked Questions

How long is this episode of Machine Learning Street Talk (MLST)?

This episode is 1 hour and 26 minutes long.

When was this Machine Learning Street Talk (MLST) episode published?

This episode was published on October 28, 2020.

Can I download this Machine Learning Street Talk (MLST) episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!