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  • TVS.003931_Miroslav Kubat - An Introduction to Machine Learning-Springer (2021)-1.pdf.jpg
  • Book


  • 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.

  • TVS.003930_Miroslav Kubat (auth.) - An Introduction to Machine Learning-Springer International Publishing (2015)-1.pdf.jpg
  • Book


  • 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.

  • TVS.000970- Ethem Alpaydin-Introduction to Machine Learning-3e_The MIT Press (2014)_1.pdf.jpg
  • Sách/Book


  • 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.