Automated machine learning, also referred to as automated ML or AutoML, automates time-consuming, iterative tasks of machine learning model development. It allows data scientists, analysts, and developers to build ML models using a code-free experience with high scale, efficiency, and productivity without compromising on the model quality.
In this session, you will get to learn how to enrich your data in spark tables with models created using Automated ML in Azure Synapse Analytics. We will be looking at a demo where we will create regression and classification models using Automated ML and how to use these models for prediction in Azure Synapse Analytics.
