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 4: Building an AutoML Regression Solution

You've taken the first step to becoming an Azure AutoML expert by building a solution with the AutoML guided user interface. Now, it's time to level up your skills by creating a solution with the Azure Machine Learning Python Software Development Kit (AzureML Python SDK). Using the Diabetes dataset that we built in Chapter 2, Getting Started with Azure Machine Learning Service, you will build a regression solution to predict how much a person's diabetes disease has advanced over the last year.

You will begin this chapter by opening up a Jupyter notebook from your compute instance, which will let you write Python code. First, you will load in the Diabetes data. Then, you will train an AutoML model and register your trained model to your Azure Machine Learning Service (AMLS) workspace. You will accomplish this by using easily reusable Python scripts. After examining your model's results, you will learn how to register...