Can I read Introduction to Statistical Machine Learning on EtoBox?

Introduction to Statistical Machine Learning by Sugiyama, Masashi is a nonfiction available to read on EtoBox.

What is Introduction to Statistical Machine Learning about?

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/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 ageneral introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide ran

Who reads Introduction to Statistical Machine Learning?

Author

Sugiyama, Masashi

Publisher

Morgan Kaufmann Publishers is an Imprint of Elsevier

Published

2016

Language

EN

ISBN

9780128023501

Category

nonfiction

Subjects

Mathematics, Science, Computer Science