Is It Possible to Improve a Recommendation System?

In episode 32 of The Gradient Podcast, Andrey Kurenkov speaks to Chip Huyen.

Chip Huyen is a co-founder of Claypot AI, a platform for real-time machine learning. Previously, she was with Snorkel AI and NVIDIA. She teaches CS 329S: Machine Learning Systems Design at Stanford. She has also written four bestselling Vietnamese books, and more recently her new O’Reilly book Designing Machine Learning Systems has just come out! 

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She also maintains a Discord server with a focus on Machine Learning Systems.

Outline:

* (00:00) Intro

* (01:30) 3-year trip through Asia, Africa, and South America

* (04:00) Getting into AI at Stanford

* (11:30) Confession of a so-called AI expert

* (16:40) Academia vs Industry

* (17:40) Focus on ML Systems

* (20:00) ML in Academia vs Industry

* (28:15) Maturity of AI in Industry

* (31:45) ML Tools

* (37:20) Real Time ML

* (43:00) ML Systems Class and Book

Links:

* Chip’s website

* MLOps Discord server

* Confession of a so-called AI expert

* What I learned from looking at 200 machine learning tools

* CS 329S: Machine Learning Systems Design

* Designing Machine Learning Systems