You're reading from Automated Machine Learning with Microsoft Azure Build highly accurate and scalable end-to-end AI solutions with Azure AutoML

Product type Paperback

Published in Apr 2021

Publisher Packt

ISBN-13 9781800565319

Length 340 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

Machine Learning

Authors (2):

Dennis Michael Sawyers

Dennis Sawyers

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: AutoML Explained – Why, What, and How

2. Chapter 1: Introducing AutoML FREE CHAPTER

3. Chapter 2: Getting Started with Azure Machine Learning Service

4. Chapter 3: Training Your First AutoML Model

5. Section 2: AutoML for Regression, Classification, and Forecasting – A Step-by-Step Guide

6. Chapter 4: Building an AutoML Regression Solution

7. Chapter 5: Building an AutoML Classification Solution

8. Chapter 6: Building an AutoML Forecasting Solution

9. Chapter 7: Using the Many Models Solution Accelerator

10. Section 3: AutoML in Production – Automating Real-Time and Batch Scoring Solutions

11. Chapter 8: Choosing Real-Time versus Batch Scoring

12. Chapter 9: Implementing a Batch Scoring Solution

13. Chapter 10: Creating End-to-End AutoML Solutions

14. Chapter 11: Implementing a Real-Time Scoring Solution

15. Chapter 12: Realizing Business Value with AutoML

16. Other Books You May Enjoy

Architecting real-time scoring solutions

Real-time inferencing refers to scoring new data points as they arrive instead of on a time-based schedule. New data flows in, new predictions come out. While not as common as batch inferencing, real-time inferencing is used by companies in a number of scenarios such as credit card fraud detection, anomaly detection on the factory floor, and recommending products when you're online shopping.

In this section, you will learn how to architect a complete, end-to-end real-time scoring solution using Azure AutoML-trained models. You will also learn why, and in what situations, you should prioritize real-time scoring over batch scoring solutions.

Understanding the four-step real-time scoring process

Real-time scoring solutions follow a slightly different process than batch scoring solutions. There are only four steps. Like batch solutions, the process begins by training an ML model and registering it as you did in previous chapters....