Book Image

Automated Machine Learning with Microsoft Azure

By : Dennis Michael Sawyers
Book Image

Automated Machine Learning with Microsoft Azure

By: Dennis Michael Sawyers

Overview of this book

Automated Machine Learning with Microsoft Azure will teach you how to build high-performing, accurate machine learning models in record time. It will equip you with the knowledge and skills to easily harness the power of artificial intelligence and increase the productivity and profitability of your business. Guided user interfaces (GUIs) enable both novices and seasoned data scientists to easily train and deploy machine learning solutions to production. Using a careful, step-by-step approach, this book will teach you how to use Azure AutoML with a GUI as well as the AzureML Python software development kit (SDK). First, you'll learn how to prepare data, train models, and register them to your Azure Machine Learning workspace. You'll then discover how to take those models and use them to create both automated batch solutions using machine learning pipelines and real-time scoring solutions using Azure Kubernetes Service (AKS). Finally, you will be able to use AutoML on your own data to not only train regression, classification, and forecasting models but also use them to solve a wide variety of business problems. By the end of this Azure book, you'll be able to show your business partners exactly how your ML models are making predictions through automatically generated charts and graphs, earning their trust and respect.
Table of Contents (17 chapters)
Section 1: AutoML Explained – Why, What, and How
Section 2: AutoML for Regression, Classification, and Forecasting – A Step-by-Step Guide
Section 3: AutoML in Production – Automating Real-Time and Batch Scoring Solutions

Chapter 7: Using the Many Models Solution Accelerator

Now that you have experienced building regression, classification, and forecasting models with AutoML, it's time for you to learn how to deploy and utilize those models in actual business scenarios. Before you tackle this, however, we will first introduce you to a new, very powerful solution, that is, the Many Models Solution Accelerator (MMSA).

The MMSA lets you build hundreds to thousands of machine learning (ML) models at once and easily scales to hundreds of thousands of models. It's an advanced technology at the cutting edge of ML. Not only can you build hundreds of thousands of models, but you can also use the MMSA to easily deploy them into production.

In this chapter, you will begin by installing the accelerator and understanding the various use cases to which it applies. You will then run the three sections of the accelerator notebook-by-notebook: prepping data, training models, and forecasting new data...