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Paco Nathan

Anyscale Academy provides training on the Ray ecosystem, tailored for data scientists, data engineers, and MLOps engineers.

Anyscale Academy: A Guided Tour of Ray Core

Anyscale

Archit Kulkarni

Anyscale Connect: Seamlessly Scaling your ML Pipelines with Ray Serve

Roger Ng, MD

Roger Ng

Anyscale Connect: Transforming Medicine - Machine Learning Takeover

Ameer Haj Ali

Anyscale Connect: A Glimpse Into the Ray Autoscaler

Chris Nicholson

Anyscale Connect is an hour long speaker series, focusing on topics related to the Ray Open Source project.

Anyscale Connect: AI Use Cases in Industrial Operations and Supply Chain

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Dan Wallach

The design of Arlo-e2e (and how Ray helped save the day).

Encrypting and Tabulating Big Elections

Ray Summit Connect

Amog Kamsetty

Population Based Training with Ray Tune

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Ray Summit is about Ray, the open-source Python framework for building distributed applications that run at any scale. This inaugural, two-day conference showcases Ray best practices, real-world case studies, and the latest research in AI and other scalable systems built on Ray.

Ray Summit

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Ding Ding

Simon Mo

Simon Mo headshot

Qingqing Mao

Qingqing Mao headshot

How do you bridge the gap between data science and data engineering, which is necessary to reliably and repeatedly create production models and deploy them in production? You’ll hear from experts about various aspects of MLOps. They will discuss the unique challenges of deploying ML to production, along with the tools and techniques necessary for success.

MLOps: Ray in the Real World

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This tutorial introduces you to two of the major Ray libraries: Ray Tune for hyperparameter tuning/optimization (HPO) and Ray Serve for model serving. The Tune tutorial also covers Ray SGD.

Ray Tune and Ray Serve

From the creators of Ray, Anyscale is a framework for building machine learning applications at any scale originating from the UC Berkeley RISELab.

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