/plushcap/analysis/anyscale/anyscale-tutorial-rl-for-recommender-systems-from-contextual-bandits-to-slateq-and

RL for recommender systems

What's this blog post about?

The Ray Summit 2021 featured numerous technical sessions on various topics, including machine learning, deep learning, reinforcement learning, and data processing. Some of the most popular talks highlighted the use of Ray for scalable Python and its ecosystem. Notably, the ML Platform on Ray panel discussed the state of machine learning within organizations like Uber, Shopify, and Robinhood, while "Distributed XGBoost on Ray" showcased how companies are using XGBoost-Ray within their internal machine learning infrastructure. Other talks focused on scalable ecosystem restoration with Dendra Systems' tools and AutoML framework Ludwig on Ray. The event also highlighted the use of Anyscale as a fully managed alternative for scaling Ray applications.

Company
Anyscale

Date published
July 20, 2021

Author(s)
Michael Galarnyk

Word count
769

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.