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    MACHINE LEARNING
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    836077

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    Sinopse

    Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines.
    The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, like in fuzzy systems. A special attention is reserved to deep learning, which nicely fits the constrained- based approach followed in this book.
    This book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, and includes many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.
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    Especificações

    ISBN9780081006597
    SubtítuloA CONSTRAINT-BASED APPROACH
    Pré vendaNão
    Peso1200g
    Autor para link
    Livro disponível - pronta entregaNão
    Dimensões23.5 x 19 x 3.3
    IdiomaInglês
    Tipo itemLIVRO IMPORTADO ADQ MERC INTERNO
    Número de páginas580
    Número da edição1ª EDIÇÃO - 2017
    Código Interno836077
    Código de barras9780081006597
    AcabamentoPAPERBACK
    AutorGORI, MARCO
    EditoraMORGAN KAUFMANN
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