Machine Learning | First Edition | By Pearson

Table of Contents:

1 Introduction to Machine Learning

2 Preparing to Model

3 Modelling and Evaluation

4 Basics of Feature Engineering

5 Brief Overview of Probability

6 B ayesian Concept Learning

7 Super vised Learning: Classification

8 Super vised Learning: Regression

9 Unsupervised Learning

10 Basics of Neural Network

11 Other Types of Learning