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


This ends Part 1 of Automated Machine Learning with Microsoft Azure, and you have accomplished a lot! You learned how to load in files from your local machine to your datastore and register it as a dataset. You have created your first AutoML model. You are able to not only interpret the results of your model with graphs and metrics but also explain how your model makes predictions. Lastly, you learned various tips and tricks that will allow you to fine-tune your models. You have made the first step on your journey toward mastering AutoML on Azure.

The next part of your journey will involve a lot of Python coding. In Chapter 4, Building an AutoML Regression Solution, you will build a regression model using the AzureML Python Software Development Kit (AzureML SDK). This SDK is a collection of commands that will allow a Python notebook to interact with your Azure workspace. You will learn how to write AutoML scripts in Python, and you will use those scripts to create powerful...