Preface

The field of data science has seen remarkable growth in the last decade. It is also the foundation of machine learning, another field experiencing rapid growth and a class of AI upon which a multitude of products and applications are being developed. Using open-source programming and code sharing, developers are able to build completely new applications starting with small pieces of freely available code and building on this using free development tools, which has significantly reduced application development times and costs. As a result, data science applications exist in almost every industry from technology to healthcare, and even government and defense. Inspired by the growth of data science applications built using open-source programming, this book provides a collection of work from international experts and researchers, discusses data science architecture and development best practices, popular algorithms, and applications of data science.

As the chief editor of this book together with my co-editors, I am proud to share "Introduction to Data Science and Machine Learning", a book with the goal to provide its readers with a deep understanding of data science application development and the benefits of using open-source programming. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first two sections and provides several examples of data science applications.

This book was only possible with the hard work of many individuals. I would like to thank all the contributors for sharing their research with our readers, I would like to thank my esteemed co-editors Professor Seifedine Kadry (Associate Professor at Beirut Arab University, Lebanon) and Professor Pakize Erdogmus (Full Professor at Duzce University, Turkey) for contributing, editing, and preparing the content, and finally I would like to thank the IntechOpen team for managing the entire project.

> Dr. Keshav Sud The University of Illinois at Chicago, Senior Manager Data Science at Keurig Dr Pepper, Ex-Scientist at Amazon Robotics

> > Pakize Erdogmus Professor, Duzce University, Turkey

Seifedine Kadry

Professor, Beirut Arab University, Lebanon

Section 1 Introduction
