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    INTRODUCTION TO STATISTICAL MACHINE LEARNING
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    813328

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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 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.
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    ISBN9780128021217
    Pré vendaNão
    Peso596g
    Autor para link
    Livro disponível - pronta entregaNão
    IdiomaInglês
    Tipo itemLIVRO IMPORTADO ADQ MERC INTERNO
    Número de páginas534
    Número da edição1ª EDIÇÃO - 2015
    Código Interno813328
    Código de barras9780128021217
    AcabamentoPAPERBACK
    AutorSUGIYAMA, MASASHI
    EditoraMORGAN KAUFMANN
    Sob encomendaSim

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