Events
Event Type
Anyscale Academy
Ray Tune and Ray Serve
This tutorial introduces you to two of the major Ray libraries: Ray Tune for hyperparameter tuning/optimization (HPO) an...
07 . 22 . 2020 | 02:00 PM (PST)Watch video
Anyscale Connect
Practical Reinforcement Learning
Reinforcement Learning (RL) trains a system to perform a sequence of actions that maximize the rewards in an environment...
07 . 08 . 2020 | 02:00 PM (PST)Watch videoAnyscale Academy
Reinforcement Learning with Ray RLlib
RLlib is the Ray-based library for implementing reinforcement learning applications. This tutorial will introduce you to...
06 . 24 . 2020 | 02:00 PM (PST)Watch video
Anyscale Connect
The Road to AutoML: Hyperparameter Tuning and Neural Architecture Search
The vision of AutoML is to remove as much manual effort and required expertise as possible when applying machine learnin...
06 . 17 . 2020 | 02:00 PM (PST)Watch videoAnyscale Academy
Introduction to Ray: Fast and Simple Distributed Computing
Ray was created to make it easier to scale diverse computation tasks and distributed state across a cluster, with a mini...
05 . 27 . 2020 | 04:00 AM (PST)Watch video
Anyscale Connect
The Future of ML and AI with Michael Jordan and Ion Stoica
Michael Jordan, Pehong Chen Distinguished Professor at UC Berkeley, offers his perspective on the current state and futu...
05 . 13 . 2020 | 07:00 AM (PST)Watch video