Makine öğrenimi
Konuyla ilgili yayınlar

Neural Networks and Pattern Recognition Using MATLAB30 Haziran 2012 tarihinde Wayback Machine sitesinde arşivlendi., Matlab Tutorial by Ph.D. Ömer Cengiz ÇELEBİ
Ethem Alpaydın (2004) Introduction to Machine Learning (Adaptive Computation and Machine Learning), MIT Press, ISBN 0-262-01211-1
M. Fatih Amasyalı (2006) Makine öğrenimine giriş, ders notu, Yıldız Teknik Üniversitesi
Christopher M. Bishop (2006) Pattern Recognition and Machine Learning, Springer ISBN 0-387-31073-8
Bing Liu (2007), Web Data Mining: Exploring Hyperlinks, Contents and Usage Data6 Temmuz 2019 tarihinde Wayback Machine sitesinde arşivlendi.. Springer, ISBN 3-540-37881-2
Toby Segaran, Programming Collective Intelligence, O'Reilly ISBN 0-596-52932-5
Ray Solomonoff, "An Inductive Inference Machine26 Nisan 2011 tarihinde Wayback Machine sitesinde arşivlendi."
Ray Solomonoff, An Inductive Inference Machine, IRE Convention Record, Bölüm: Information Theory, 2. Kısım, s. 56-62, 1957
Ryszard S. Michalski, Jaime G. Carbonell, Tom M. Mitchell (1983), Machine Learning: An Artificial Intelligence Approach, Tioga Publishing Company, ISBN 0-935382-05-4
Ryszard S. Michalski, Jaime G. Carbonell, Tom M. Mitchell (1986), Machine Learning: An Artificial Intelligence Approach, II. Cilt, Morgan Kaufmann, ISBN 0-934613-00-1
Yves Kodratoff, Ryszard S. Michalski (1990), Machine Learning: An Artificial Intelligence Approach, Volume III, Morgan Kaufmann, ISBN 1-55860-119-8
Ryszard S. Michalski, George Tecuci (1994), Machine Learning: A Multistrategy Approach, IV. Cilt, Morgan Kaufmann, ISBN 1-55860-251-8
Bhagat, P. M. (2005). Pattern Recognition in Industry, Elsevier. ISBN 0-08-044538-1
Bishop, C. M. (1995). Neural Networks for Pattern Recognition, Oxford University Press. ISBN 0-19-853864-2
Richard O. Duda, Peter E. Hart, David G. Stork (2001) Pattern classification 2. baskı, Wiley, New York, ISBN 0-471-05669-3
Huang T.-M., Kecman V., Kopriva I. (2006), Kernel Based Algorithms for Mining Huge Data Sets, Supervised, Semi-supervised, and Unsupervised Learning18 Mayıs 2011 tarihinde Wayback Machine sitesinde arşivlendi., Springer-Verlag, Berlin, Heidelberg, 260 s. 96, ISBN 3-540-31681-7
Kecman Vojislav (2001), Learning and Soft Computing, Support Vector Machines, Neural Networks and Fuzzy Logic Models23 Temmuz 2011 tarihinde Wayback Machine sitesinde arşivlendi., The MIT Press, Cambridge, MA, 608 s. 268, ISBN 0-262-11255-8
MacKay, D. J. C. (2003). Information Theory, Inference, and Learning Algorithms6 Şubat 2015 tarihinde Wayback Machine sitesinde arşivlendi., Cambridge University Press. ISBN 0-521-64298-1
Mitchell, T. (1997). Machine Learning, McGraw Hill. ISBN 0-07-042807-7
Ian H. Witten & Eibe Frank Data Mining: Practical machine learning tools and techniques Morgan Kaufmann ISBN 0-12-088407-0
Sholom Weiss & Casimir Kulikowski (1991). Computer Systems That Learn, Morgan Kaufmann. ISBN 1-55860-065-5
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz & Timm Euler: YALE: Rapid Prototyping for Complex Data Mining Tasks, in Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-06), 2006
Trevor Hastie, Robert Tibshirani & Jerome Friedman (2001). The Elements of Statistical Learning, Springer. ISBN 0-387-95284-5
Vladimir Vapnik (1998). Statistical Learning Theory. Wiley-Interscience, ISBN 0-471-03003-1
Yapay Zekanın (AI) alt alanı olarak Makine Öğrenimi
Yapay Zekanın alt alanı olarak Makine Öğreniminin bir parçası veya Makine Öğreniminin alt alanı olarak YZ'nin bir parçası