Machine Learning Street Talk (MLST) artwork

Kaggle, ML Community / Engineering (Sanyam Bhutani)

Machine Learning Street Talk (MLST)

English - October 28, 2020 00:47 - 1 hour - 80.1 MB
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Previous Episode: Sara Hooker - The Hardware Lottery, Sparsity and Fairness
Next Episode: AI Alignment & AGI Fire Alarm - Connor Leahy

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