Machine Learning Algorithms

What this book covers

Chapter 1, A Gentle Introduction to Machine Learning, introduces the world of machine learning, explaining the fundamental concepts of the most important approaches to creating intelligent applications.

Chapter 2, Important Elements in Machine Learning, explains the mathematical concepts regarding the most common machine learning problems, including the concept of learnability and some elements of information theory.

Chapter 3, Feature Selection and Feature Engineering, describes the most important techniques used to preprocess a dataset, select the most informative features, and reduce the original dimensionality.

Chapter 4, Linear Regression, describes the structure of a continuous linear model, focusing on the linear ...