Skip to main navigation Skip to main content
info(at)avldigital.remove-this.de
Deutsch English
Narrow Search
Search narrowed by
Last searches

Results for *

Displaying results 1 to 1 of 1.

  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

    Location:
    Hochschule Esslingen, Bibliothek
    Signature:
    E-Book ProQuest Ebook Central
    Inter-library loan:
    No inter-library loan

    Location:
    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
    Inter-library loan:
    No inter-library loan

    Location:
    Bibliothek LIV HN Sontheim
    Signature:
    EBookCentral-Ebook
    Inter-library loan:
    No inter-library loan

    Location:
    Deutsches Zentrum für Luft- und Raumfahrt, DLR-Bibliothek
    Inter-library loan:
    No inter-library loan

    Location:
    Max-Planck-Institute Stuttgart, Bibliothek
    Signature:
    eBook
    Inter-library loan:
    No inter-library loan

    Location:
    Universitätsbibliothek Stuttgart
    Inter-library loan:
    No inter-library loan

    Location:
    Universität Ulm, Kommunikations- und Informationszentrum, Bibliotheksservices
    Inter-library loan:
    No inter-library loan

     

    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.

     
    Export to reference management software   RIS file
      BibTeX file
    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