Machine Learning: Basics

Machine learning has long been synonymous with artificial intelligence. It has penetrated many aspects of our lives and has become one of the most important areas of modern science. This book is a guide to the key ideas of machine learning. You will learn how machine learning methods arise from the fundamental principles of probability theory, journey from Bayes' theorem to generalized linear models, and get to know the giants upon which all modern artificial intelligence stands. A multitude of fascinating cases, practical examples, and interesting problems—from the analysis of retrospective scientific studies to the "hot hand" effect in basketball—will help clarify the most complex concepts. In addition, the book can serve as a foundation for basic courses in machine learning.