Introduction to Machine Learning - A Python Approach to Concepts, Models and Applications

This manual was created because of the need for appropriate written material on the subject of Machine Learning, which the author holds in the third year of the Technical Faculty of Singidunum University in Belgrade. During writing, an effort has been made to make the textbook acceptable to readers who have a basic knowledge of the Python or Mat lab programming language. In one part of the textbook, a separate chapter will be devoted to the parts of mathematics (such as linear algebra and mathematical analysis) needed to understand algorithms. Through the chapters of this book, readers will learn the most effective machine-learning techniques and gain experience in applications using the Python programming language. In addition to machine learning theory, readers will learn how to apply these theories in solving new problems and some of Silicon Valley's best practices in machine learning and artificial intelligence innovation.