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Kaggle, ML Community / Engineering (Sanyam Bhutani)

Kaggle, ML Community / Engineering (Sanyam Bhutani)

FromMachine Learning Street Talk (MLST)


Kaggle, ML Community / Engineering (Sanyam Bhutani)

FromMachine Learning Street Talk (MLST)

ratings:
Length:
87 minutes
Released:
Oct 28, 2020
Format:
Podcast episode

Description

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
Released:
Oct 28, 2020
Format:
Podcast episode

Titles in the series (100)

This is the audio podcast for the ML Street Talk YouTube channel at https://www.youtube.com/c/MachineLearningStreetTalk Thanks for checking us out! We think that scientists and engineers are the heroes of our generation. Each week we have a hard-hitting discussion with the leading thinkers in the AI space. Street Talk is unabashedly technical and non-commercial, so you will hear no annoying pitches. Corporate- and MBA-speak is banned on street talk, "data product", "digital transformation" are banned, we promise :) Dr. Tim Scarfe, Dr. Yannic Kilcher and Dr. Keith Duggar.