Tune hyperparameters in Azure Databricks

Module
7 Units

Intermediate

Data Scientist

Azure Databricks

Tuning hyperparameters is an essential part of machine learning. In Azure Databricks, you can use the Optune library to optimize hyperparameters automatically.

Learning objectives

In this module, you learn how to:

Use the Optuna library to optimize hyperparameters.
Distribute hyperparameter tuning across multiple worker nodes.

Prerequisites

Before starting this module, you should be familiar with how to train machine learning models in Azure Databricks.

Introduction min
Optimize hyperparameters with Optuna min
Review trials min
Scale hyperparameter optimization min
Exercise - Optimize hyperparameters for machine learning in Azure Databricks min
Module assessment min
Summary min

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