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検索キーワード:(件名: #Machine learning)
該当件数:31件
Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville
: hbk. - Cambridge, Mass. : MIT Press , c2016. - (Adaptive computation and machine learning)
図書
Introduction to machine learning with Python : a guide for data scientists / Andreas C. Müller and Sarah Guido
: pbk. - 1st ed., 3rd release. - Sebastopol, CA : O'Reilly , 2017
Machine learning : principles and techniques / edited by Richard Forsyth
pbk.. - London ; New York : Chapman and Hall , 1989. - (Chapman and Hall computing)
Introduction to machine learning / Ethem Alpaydin
2nd ed. - Cambridge : MIT Press , c2010. - (Adaptive computation and machine learning)
Pattern recognition and machine learning / Christopher M. Bishop
New York : Springer , c2006. - (Information science and statistics / series editors M. Jordan ... [et al.])
Python machine learning : unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics / Sebastian Raschka
Birmingham : Packt Pub. , 2015. - (Packt open source ; . Community experience distilled)
Practical machine learning with Python : a problem-solver's guide to building real-world intelligent systems / Dipanjan Sarkar, Raghav Bali, Tushar Sharma
: pbk. - [New York] : Apress , c2018
Deep learning and convolutional neural networks for medical imaging and clinical informatics / Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang, editors
Cham, Switzerland : Springer , 2019. - (Advances in computer vision and pattern recognition. ISSN:2191-6586)
Genetic algorithms for machine learning / edited by John J. Grefenstette
Boston : Kluwer Academic Publishers , c1994
Machine learning : an artificial intelligence approach / contributors, Saul Amarel ... [et al.] ; editors, Ryszard S. Michalski, Jaime G. Carbonell, Tom M. Mitchell
[v. 1] - v. 4. - San Mateo, Calif. : M. Kaufmann , c1983-c1994
A theory of learning and generalization : with applications to neural networks and control systems / M. Vidyasagar
London : Springer , 1997. - (Communications and control engineering)
The design and analysis of efficient learning algorithms / Robert E. Schapire
Cambridge, Mass. : MIT Press , c1992. - (ACM doctoral dissertation awards ; 1991)
Neural networks and machine learning / edited by Christopher M. Bishop
Berlin : Springer, 1998. - (NATO ASI series ; Series F . Computer and systems sciences ; no. 168)
Neural network learning : theoretical foundations / Martin Anthony and Peter L. Bartlett
Cambridge : Cambridge University Press , 1999
Machine learning : a Bayesian and optimization perspective / Sergios Theodoridis
: hbk. - Amsterdam : Academic Press , c2015
Foundations of machine learning / Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar
Cambridge, MA : MIT Press , c2012. - (Adaptive computation and machine learning)
Machine learning : an algorithmic perspective / Stephen Marsland
Boca Raton : Chapman & Hall/CRC , c2009. - (Chapman & Hall/CRC machine learning & pattern recognition series)
Machine learning : a probabilistic perspective / Kevin P. Murphy
Cambridge, Mass. : MIT Press , c2012. - (Adaptive computation and machine learning)
Intelligence : the eye, the brain, and the computer / Martin A. Fischler, Oscar Firschein
Reading, Mass. ; Tokyo : Addison-Wesley , c1987
Fuzzy mathematical approach to pattern recognition / Sankar K. Pal, Dwijesh K. Dutta Majumder
New York : Wiley , c1986