HomeEventsSimplify and scale your XGBoost model using Ray on Anyscale

Webinar

Simplify and scale your XGBoost model using Ray on Anyscale

In this webinar, we will cover how Ray, a universal distributed computing framework running on Anyscale, simplifies the end-to-end machine learning lifecycle and provides serverless compute without limits. We will go through an example from beginning to end using XGBoost.

See first hand how to:

  • Load data with Ray Datasets

  • Train an XGBoost model on Ray

  • Perform hyperparameter tuning with Ray Tune

  • Scale from your laptop to Anyscale with zero code changes

  • Experiment tracking with Weight and Biases

LinkResources

Speakers

Phi Nguyen

Phi Nguyen

GTM Tech Lead, Anyscale, Anyscale

Antoni Baum

Antoni Baum

Software engineer, Anyscale, Anyscale

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