The ONE Thing That Makes Machine Learning Resilient - Gerald Friedland #001

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Gerald is the CTO of an AI company (Brainome) and professor at UC Berkeley. Listen to his advice on how to build more resilient machine learning models and get inspired from his career journey!

We covered:
- how did he get into machine learning
- what's the biggest problem with the current machine learning trend
- how to make ML models more resilient
- how to avoid overfitting
- how should people learn if they want to be better at machine learning
- how Gerald built a tech company in college
- his secret of being innovative

Gerald's class is here:
https://www2.eecs.berkeley.edu/Courses/CS294_3438/

His YouTube lectures from last year online:
https://www.youtube.com/playlist?list=PL17CtGMLr0XzOsLydB0jik4UpEyoW5SOx

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https://twitter.com/DalianaLiu
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This episode is also available on Spotify.