Put AI to Work
April 15-18, 2019
New York, NY
Eric Liang

Eric Liang
Graduate Student, University of California, Berkeley, RISELab

Eric Liang is a second-year PhD student working in the University of California, Berkeley, RISELab with Ion Stoica. He works on frameworks and applications for machine learning and reinforcement learning. Previously, he spent several years working on systems in industry at Databricks and Google.

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.