Book Image

Artificial Intelligence and Machine Learning Fundamentals

By : Zsolt Nagy
Book Image

Artificial Intelligence and Machine Learning Fundamentals

By: Zsolt Nagy

Overview of this book

Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills!
Table of Contents (10 chapters)
Artificial Intelligence and Machine Learning Fundamentals
Preface

Introduction


In this lesson, we will learn about another supervised learning technique. However, this time, instead of using a simple mathematical model such as classification or regression, we will use a completely different model: neural networks. Although we will use Neural Networks for supervised learning, note that Neural Networks can also model unsupervised learning techniques. The significance of this model increased in the last century, because in the past, the computation power required to use this model for supervised learning was not enough. Therefore, neural networks have emerged in practice in the last century.