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  1. Introduction to machine learning
    Author: Alpaydın, Ethem
    Published: [2014]; © 2014
    Publisher:  MIT Press, Cambridge, Massachusetts ; Ebook Central, London, England

    A substantially revised third edition of a comprehensive textbook that covers a broad range of topics not often included in introductory texts. Intro -- Brief Contents -- Contents -- Preface -- Notations -- 1 Introduction -- 2 Supervised Learning --... more

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    Hochschule Esslingen, Bibliothek
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    E-Book ProQuest Ebook Central
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    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
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    A substantially revised third edition of a comprehensive textbook that covers a broad range of topics not often included in introductory texts. Intro -- Brief Contents -- Contents -- Preface -- Notations -- 1 Introduction -- 2 Supervised Learning -- 3 Bayesian Decision Theory -- 4 Parametric Methods -- 5 Multivariate Methods -- 6 Dimensionality Reduction -- 7 Clustering -- 8 Nonparametric Methods -- 9 Decision Trees -- 10 Linear Discrimination -- 11 Multilayer Perceptrons -- 12 Local Models -- 13 Kernel Machines -- 14 Graphical Models -- 15 Hidden Markov Models -- 16 Bayesian Estimation -- 17 Combining Multiple Learners -- 18 Reinforcement Learning -- 19 Design and Analysis of Machine Learning Experiments -- A Probability -- Index.

     
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    Content information
    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9780262325745
    RVK Categories: ST 300 ; ST 285 ; ST 304 ; ST 278
    Edition: Third edition
    Series: Adaptive computation and machine learning
    Adaptive Computation and Machine Learning Ser.
    Subjects: Machine learning; Digital Humanities; Machine learning; Electronic books
    Scope: 1 Online-Ressource (xxii, 613 Seiten)
    Notes:

    Enthält bibliographische Nachweise und einen Index
  2. Introduction to machine learning
    Author: Alpaydın, Ethem
    Published: c 2014
    Publisher:  MIT Press, Cambridge, Mass. [u.a.]

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    Duale Hochschule Baden Württemberg Mosbach, Campus Bad Mergentheim Bibliothek
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    Technische Universität Chemnitz, Universitätsbibliothek
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    Universitätsbibliothek Clausthal
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    Technische Universität Bergakademie Freiberg, Bibliothek 'Georgius Agricola'
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    Bibliothek Forstwissenschaften
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    Bibliothek der Technischen Fakultät
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    Bibliothek der Technischen Fakultät
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    UB Weimar
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    Content information
    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Book
    Format: Print
    ISBN: 0262028182; 9780262028189
    Other identifier:
    9780262028189
    RVK Categories: ST 285 ; ST 278 ; ST 302 ; ST 304 ; ST 300
    Edition: 3. ed.
    Series: Adaptive computation and machine learning
    Subjects: Machine learning; Digital Humanities
    Scope: XXII, 613 S., graph. Darst., 24 cm
    Notes:

    Includes bibliographical references (page 203) and index