Put AI to Work
April 15-18, 2019
New York, NY
Philipp Moritz

Philipp Moritz
UC Berkeley, University of California, Berkeley

Website

Philipp Moritz is a PhD candidate in the Electrical Engineering and Computer Sciences (EECS) Department at the University of California, Berkeley, with broad interests in artificial intelligence, machine learning, and distributed systems. He’s a member of the Statistical AI Lab and the RISELab.

Sessions

1:45pm–5:15pm Tuesday, April 16, 2019
Building reinforcement learning models and AI applications with Ray
Location: Petit Trianon
Secondary topics:  Deep Learning and Machine Learning tools, Reinforcement Learning
Robert Nishihara (University of California, Berkeley), Philipp Moritz (University of California, Berkeley), Ion Stoica (University of California, Berkeley), Eric Liang (University of California, Berkeley, RISELab)
Average rating: *****
(5.00, 1 rating)
Ray is a general purpose framework for programming your cluster. Robert Nishihara, Philipp Moritz, Ion Stoica, and Eric Liang lead a deep dive into Ray, walking you through its API and system architecture and sharing application examples, including several state-of-the-art AI algorithms. Read more.