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

Fine-tuning your AutoML regression model

In this section, you will first review tips and tricks for improving your AutoML regression models and then review the algorithms used by AutoML for regression.

Improving AutoML regression models

While AutoML will handle most of the complicated data transformations and feature engineering for you, there are a few tips you can follow to increase the accuracy of your model. Some of these tips are true across all three AutoML tasks – regression, classification, and forecasting – while others are regression-specific. Following them will yield higher-performing models and, more importantly, hone your understanding of machine learning techniques. I have listed a few tips and tricks here for quick reference:

Fill in null values before passing them on to AutoML. Alternatively, drop any rows that contain a null value. Just because AutoML will automatically fill your null values does not mean that it will do a great job.
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