Machine learning allows computers to learn and discern patterns without actually being programmed. When statistical techniques and machine learning are combined, they become a powerful tool for analyzing various kinds of data in many computer science and engineering areas, including image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. "Introduction to Statistical Machine Learning" provides a general introduction to machine learning that covers a wide range of topics concisely and helps bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques: generative methods.