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UC Berkeley RISE Lab
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Joined April 2016
.@profjoeyg has a follow-on to last week’s post on the ML revolution. Here, he discusses the prediction serving work that’s been done in recent years @ucbrise, what they got right, and what they got wrong.
1/ Part 2! Last week, I talked about how data + compute + abstractions catalyzed the ML revolution. The natural next question is how we put those models to use (hint: it’s not testing):
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@profjoeyg wrote a blog reflecting on the past decade of ML systems research and how data and compute were catalyzed by new ML abstractions to launch the ML revolution.
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RT @haozhangml: The next talk in the Sky Seminar held at @ucbrise is today and our speaker will be Olivier Tardieu from IBM Research who wi…
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