Chapter 6: Enriching Data Using the Azure ML AutoML Regression Model

In this chapter, we will cover how to train and enrich your data using a no-code, UI-based machine learning approach with Synapse Studio. We will learn how to configure and use an AutoML and cloud-based service of Azure ML to build your machine learning model with ease. Using AutoML, you will be able to develop a highly scalable, efficient, and robust model with a code-free experience. You will learn how to connect to an existing data source and train the model without writing a single line of code, using machine learning techniques within Synapse Studio.

You will also learn something very interesting – how to integrate Azure Cognitive Services so that you can bring the power of AI along with predictive analytics.

Apart from this, you will also get to learn how to use scalable machine learning models using SparkML and Machine Learning Library (MLlib). The Synapse runtime consists of many open source libraries...