Azure Databricks Training: Data Science

In this session of our training series, we’ll show you how you can use MLlib with Azure Databricks to train your own models, run replicable experiments, and deploy into production with fewer failing jobs to accelerate your organization’s data science efforts.

During this session we will cover

  • Estimators, Transformers and ML Pipelines
  • How to train an ML Model
  • How to save and read an ML Model
  • How to make predictions with an ML Model

Resource Details

Databricks logo
Provided by:
Data Management