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Studijní materiály
Trevor Hastie, Robert Tibshirani, Jerome Friedman:
The Elements of Statistical Learning
. 2nd Ed., Springer, 2009. ISBN 978-0-387-84857-0.
http://www-stat.stanford.edu/~tibs/ElemStatLearn/download.html
Christopher M. Bishop:
Pattern Recognition and Machine Learning
. Springer, 2006. ISBN 978-0387-31073-2.
Kevin P. Murphy:
Machine Learning: A Probabilistic Perspective
. MIT Press, 2012. ISBN 9780262018029.
David Barber:
Bayesian Reasoning and Machine Learning
. Cambridge University Press, 2012. ISBN 978-0-521-51814-7.
http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/270212.pdf
Nils J. Nilsson:
Introduction to Machine Learning – An Early Draft of a Proposed Textbook
. Stanford University, 2005.
http://robotics.stanford.edu/people/nilsson/mlbook.html
Last updated: 04.10.2017
K prohlížení textu nemáte dostatečná práva.
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