Introduction to AutoML

Summary

Learn how to use Databricks AutoML to quickly generate baseline models and notebooks.

Description

This course serves as a quick introduction to Databricks ML. With AutoML, ML experts can accelerate their workflows by fast-forwarding through the usual trial-and-error and focus on customizations using their domain knowledge, and citizen data scientists can quickly achieve usable results with a low-code approach.

Learning objectives

  • Explain what AutoML is.

  • Describe how AutoML fits into the Databricks ecosystem.

  • Articulate how to use AutoML for appropriate use cases.

  • Demonstrate how to use AutoML for given use cases.

Prerequisites

  • Familiarity with Databricks Machine Learning.

Learning path

  • This course is part of the data scientist learning path.

Proof of completion

  • Upon 80% completion of this course, you will receive a proof of completion.