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Last update: doc. Mgr. Milan Krtička, Ph.D. (13.02.2023)
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Last update: doc. Mgr. Milan Krtička, Ph.D. (13.02.2023)
books [1] Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer-Verlag Berlin, Heidelberg, ISBN:0-387-31073-8 [2] Kevin Gurney, An introduction to neural networks, UCL Press, ISBN: 1-85728-673-1 [3] Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification (2nd Edition), Wiley-Interscience New York, NY, USA, ISBN:0471056693 [4] Tom M. Mitchell, Machine Learning, McGraw-Hill, ISBN: 070428077 [5] S. Theodoridis K. Koutroumbas, Pattern Recognition, Elsevier, ISBN:9781597492720 [6] Stuart J. Russell and Peter Norvig, Artificial Intelligence A Modern Approach, Prentice Hall Press Upper Saddle, River, NJ, USA, ISBN:0136042597 9780136042594 online books: [1] Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, www.deeplearningbook.org [2] Michael Nielsen, Neural Networks and Deep Learning, http://neuralnetworksanddeeplearning.com/index.html other links: https://en.wikipedia.org/wiki/Machine_learning https://www.pyimagesearch.com/2018/03/05/7-best-deep-learning-books-reading-right-now/ https://www.goodreads.com/search?q=deep+learning |
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Last update: doc. Mgr. Milan Krtička, Ph.D. (13.02.2023)
sparse kernel machines (SVM, RVM) graphical models mixture models and expectation maximization principal component analysis (PCA) Markov models and linear dynamical systems Hopfield map recurrent neural network |