SparkML (aka MLlib) is a library for machine learning on the Spark framework. Crucial is the concept of Transformers and Estimators, with which parameterized pipelines can be built.
In this session you will see how to start building machine learning pipelines in Microsoft Fabric notebooks using SparkML, train a machine learning model and see how to use the resulting predictions in Power BI. Finally, you will learn about the FLAML framework for automated machine learning, and SynapseML for integration with Azure AI Services.