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


Gaining end user acceptance can be difficult, but having the right approach can make it a lot easier. Walking your end users through an architectural diagram, carefully explaining the model's performance to them using the right metrics, and spending time explaining which features the model is using to make predictions are all key to selling your solution to end users. Furthermore, you can tailor your message based on what type of solution you are building to gain end user trust.

You are now at the end of the book and I'd like you to reflect on the journey. You've acquired many technical skills, including the ability to train AutoML models, deploy AutoML models for scoring in batch and real-time scoring, and design, create, and implement full end-to-end AutoML solutions. You also have an approach to sell those solutions to your business partners, gain their trust, and, ultimately, realize value. By crafting powerful solutions with AutoML on Azure, you&apos...