Читать книгу Machine Learning Algorithms and Applications - Группа авторов - Страница 11

Preface

Nowadays, machine learning has become an essential part of many commercial and industrial applications and research developments. It has expanded its roots in areas ranging from automatic medical diagnosis in healthcare to product recommendations in social networks. Many people think that machine learning can only be applied by large companies with extensive research teams. In this book, we try to show you how you yourself can easily adopt machine learning to build solutions for small applications and the best way to go about it. With the knowledge presented herein, you can build your own system to find the faults in a company’s manufactured products and the fake profiles in social networks. This book clearly explains the various applications of machine and deep learning for use in the medical field, animal classification, gene selection from microarray gene expression data, sentiment analysis, fake profile detection in social media, farming sectors, etc.

For the ambitious machine learning specialists of today who are looking to implement solutions to real-world machine learning problems, this book thoroughly discusses the various applications of machine and deep learning techniques. Each chapter deals with the novel approach of machine learning architecture for a specific application and its results, including comparisons with previous algorithms. In order to present a unified treatment of machine learning problems and solutions, many methods based in different fields are discussed, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining. Furthermore, all learning algorithms are explained in a way that makes it easy for students to move from the equations in the book to a computer program.

The Editors

June 2020