~/talk

DBTB INT Carlos Guestrin r

on YouTube 04m
Talkat Data By the Bay 2016 · 2016-05-16..05-20· [machine-learning]

speaker

name:Carlos Guestrin
links:none on file

resources

video:https://youtu.be/HJLzNsKljXQ
slides:none on file

summary

Argues the field hits a phase transition from academic work to real-world intelligent apps, with winners like early Amazon recommender systems and Uber showing how data can differentiate products. Claims two concrete needs: accelerate developer journeys via a data platform that hides ML complexity, and provide runtime trust and transparency so models keep working for the right reasons. Describes a built Coursera specialization with Emily Fox that teaches a use-case driven workflow and is already used to train practitioners.

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