Uploaded September 2021 | Updated September 2026, 2 weeks ago

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Gerald Friedland is the CTO of an AI company (Brainome) and a professor at UC Berkeley. Listen to his advice on how to build more resilient machine learning models and get inspired by his career journey! If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science and career.

Gerald’s LinkedIn: linkedin.com/in/geraldfriedland
Gerald’s Class: https://www2.eecs.berkeley.edu/Courses/CS294_3438/
Gerald’s Youtube Lectures: youtube.com/playlist?list=PL17CtGMLr0XzOsLydB0jik4UpEyoW5SOx
Daliana's LinkedIn: linkedin.com/in/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu

00:00:00 Introduction
00:01:06 How did he get into machine learning
00:12:13 How to Reduce Overfitting
00:22:15 Technology in Brainome
00:24:13 Brainome vs auto ML
00:27:08 Measurement of a data-centric approach
00:27:32 Data Drift
00:32:28 Courses to take
00:34:33 Information theory
00:38:06 Advice for students in grad school
00:42:43 Dealing with failure and stress
00:44:05 The underdog story
00:49:12 Who is Gerald Friedland
00:50:00 Inspiration of Gerald
00:51:08 Future of machine learning
00:52:36 Tips for asking the right questions
00:53:40 Question your assumptions
00:54:10 Favorite books and courses
00:56:34 Advice on machine learning
00:57:52 Ideal qualities of an ML engineer