Chip Huyen

Chip Huyen

Machine Learning Engineer at Snorkel AI, Adjunct Lecturer at Stanford
Snorkel AI

Chip Huyen is an engineer who develops tools and best practices for machine learning production. She’s currently developing an end-to-end platform with Snorkel AI and she’ll be teaching Machine Learning Systems Design at Stanford from January 2021. Previously, she was with Netflix, NVIDIA, Primer. She’s also the author of four bestselling Vietnamese books.

Machine Learning is Going Real-Time
Wednesday, January 20 | 
11:10 AM - 
11:40 AM

This talk covers the state of real-time machine learning in production and the staggering differences in its adoption across Internet companies in the US and China. There are two levels of real-time machine learning. Level 1: Your ML system makes predictions in real-time (online predictions). Level 2: Your system can incorporate new data and update your model in real-time (online learning). This talk discusses both levels, their use cases, solutions, and challenges.

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