Introduction to Machine Learning

Introduction to Machine Learning (The Complete MBA Coursework Series), Hicham and Mohamed Ibnalkadi, 2020, self-published

This book is part of a series that attempts to provide an affordable MBA education. It is all about machine learning, the science of making computers act in different ways without being programmed.

For instance, you want a computer to scour the internet looking for pictures of black cats. First, you need to give the computer thousands of pictures of cats of all colors. Then, you might give the computer thousands of pictures of not-cats, so it can learn to distinguish between them. After that, you need to teach the computer the difference between the color black and all other colors. When the computer learns to find black cats in its sample pictures, then you can unleash it on the internet.

This book talks about different types of machine learning, including supervised and unsupervised learning, reinforcement and deep reinforcement learning. It also talks about decision trees, the Bayes Theorem, natural language processing and neural networks.

Automation, and artificial intelligence, is part of daily life in present-day business. This book provides a very good overview of the field. It will help the reader to ride the AI wave, and not be swamped by it.