Skip to Main Content
Machine Learning
book

Machine Learning

by Subramanian Chandramouli, Saikat Dutt, Amit Kumar Das
April 2018
Intermediate to advanced content levelIntermediate to advanced
456 pages
11h 47m
English
Pearson Education India
Content preview from Machine Learning

Chapter 4

Basics of Feature Engineering

OBJECTIVE OF THE CHAPTER

In the last three chapters, you have been introduced to the basic concepts of machine learning. Also, the process to start modelling a problem has also been discussed in details. With this context in mind, in this chapter, we will introduce you to another very important aspect of machine learning, that is feature engineering. Though not a core part of the machine learning processes, feature engineering is a critical allied task that we need to perform to make learning more effective. It has three key components – feature construction, feature selection, and feature transformation, each of which will be covered in details in this chapter.

4.1 INTRODUCTION

In the last three ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning

Machine Learning

Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Mohammed Bashier
Machine Learning

Machine Learning

Sergios Theodoridis
Real-World Machine Learning

Real-World Machine Learning

Henrik Brink, Mark Fetherolf, Joseph Richards

Publisher Resources

ISBN: 9789389588132