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    Structured data licensed under CC BY 4.0 by Bibliotecas de la Universidad de Concepción. Additional terms may apply for third-party namespace data.

    006.31

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    • http://bibfra.me/vocab/lite/Category
    Defined by
    1
    • ddc
    Label
    006.31
    Code
    006.31
    Source
    ddc

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    • Classification of
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    Algoritmos evolutivos, un enfoque práctico, Lourdes Araujo, Carlos Cervigón
  • The elements of statistical learning, data mining, inference, and prediction, Trevor Hastie, Robert Tibshirani, Jerome Friedman
  • Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow, concepts, tools, and techniques to build intelligent systems, Aurélien Géron
  • Introduction to machine learning, Ethem Alpaydın
  • Principles of data mining, Max Bramer
  • The elements of statistical learning, data mining, inference, and prediction, Trevor Hastie, Robert Tibshirani, Jerome Friedman
  • Deep learning, Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  • Sequence learning, paradigms, algorithms, and applications, Ron Sun, C. Lee Giles (eds.)
  • Illustrating evolutionary computation with Mathematica, Christian Jacob
  • Machine learning, Tom M. Mitchell
  • Genetic algorithms in search optimization and machine learning, David E. Goldberg
  • Probabilistic machine learning, an introduction, Kevin P. Murphy
  • Generative programming, methods, tools, and applications, Krzysztof Czarnecki and Ulrich Eisenecker