Preprocess large datasets with Azure Machine Learning

Data Scientist
Machine Learning

Choose GPU compute in Azure Machine Learning when training compute-intensive models. To reduce the time needed to process the data, store your data efficiently and use a data manipulation library compatible with GPU compute.

Learning objectives

In this module, you'll learn how to:

  • Know when to choose CPU or GPU compute in Azure Machine Learning.
  • Efficiently store data in an Azure Data Lake Storage Gen2.
  • Optimize data loading and preprocessing.


Before starting this module, you should be familiar with the Azure Machine Learning service and training machine learning and deep learning models.