Machine Learning Ladda ner (Download/Läsa online) (e-bok) PDF, ePub, Kindle

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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.

  • Presents fundamental machine learning concepts, such as neural networks and kernel machines in a unified manner
  • Provides in-depth coverage of unsupervised and semi-supervised learning
  • Includes a software simulator for kernel machines and learning from constraints that also includes exercises to facilitate learning
  • Contains 250 solved examples and exercises chosen particularly for their progression of difficulty from simple to complex




Machine Learning (e-bok) av Marco Gori


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    Ladda ner Machine Learning e-bok Gratis

    : SPEGEL 2







    Undertext
    A Constraint-Based Approach
    Författare

    Marco Gori (författare)
    Förlag
    Elsevier S&T
    Utgiven
    20 november 2017
    Längd
    580 sidor
    Genrer

    Fackböcker, It & Teknologi
    Språk
    SVENSKA
    Format
    pdf


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