Sugiyama, M: Introduction to Statistical Machine Learning

Masashi Sugiyama

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  • Sugiyama, M: Introduction to Statistical Machine Learning

    Morgan Kaufmann

    Versandfertig innert 6 - 9 Werktagen

    Fr. 183.00

    Morgan Kaufmann

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Beschreibung

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 a general 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.

Produktdetails

Einband Taschenbuch
Seitenzahl 534
Erscheinungsdatum 25.09.2015
Sprache Englisch
ISBN 978-0-12-802121-7
Verlag Morgan Kaufmann
Maße (L/B/H) 23.1/18.4/3.2 cm
Gewicht 1045 g
Abbildungen black & white illustrations

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