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  • An Introduction to Machine Learning

    • Authors: Miroslav Kubat (2021)

  • This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hidden Markov models, and a much more detailed treatment of reinforcement learning.
  • Book

  • An Introduction to Machine Learning

    • Authors: Miroslav Kubat (2015)

  • This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.
  • Sách/Book

  • Introduction to : Machine Learning

    • Authors: Alpaydin, Ethem (2014)

  • Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.