

Machine Learning on the web
Mar 30, 2023
Join Jason Mayes, the public face of Web ML at Google, as he discusses making machine learning accessible on the web, exploring WebML advantages like data privacy and cost-effectiveness. They dive into creative applications of WebML, from remote physiotherapy to salsa dancing skeletons, emphasizing accessibility and user experience. The podcast also touches on curiosity, pushing boundaries, and the TV series Devs' exploration of predictability in human behavior.
Chapters
Transcript
Episode notes
1 2 3 4 5
Intro
00:00 • 2min
Exploring the Advantages and Real-World Applications of WebML
02:05 • 4min
Exploring Creative Applications and Innovations in WebML
06:29 • 19min
Embracing Curiosity, Persistence, and Future Aspirations
25:19 • 2min
Exploration of the TV series Devs and Predictability in Human Behavior
27:09 • 2min