Kaggle, ML Community / Engineering (Sanyam Bhutani)

Episode 26 of the Machine Learning Street Talk (MLST) podcast, hosted by Machine Learning Street Talk (MLST), titled "Kaggle, ML Community / Engineering (Sanyam Bhutani)" was published on October 28, 2020 and runs 86 minutes.

October 28, 2020 ·86m · Machine Learning Street Talk (MLST)

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Summary

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 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

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