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Morgan Kaufmann Introduction to Statistical Machine Learning

Name: Introduction to Statistical Machine Learning
Brand: Morgan Kaufmann

AI & Machine Learning

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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 range of data analysis tasks.

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Introduction to Statistical Machine Learning

Product type: ABIS BOOK

Brand: Morgan Merchant

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Brand: Morgan Kaufmann
Format: paperback
ASIN: 0128021217
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 12 October 2015
Listed Since: 08 July 2015

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Morgan Kaufmann Introduction to Statistical Machine Learning

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