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Bioinformatics : the machine learning approach / Pierre Baldi and Søren Brunak
: hc. - Cambridge, Mass. : The MIT Press , 1998
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| 2 |
Graphical models for machine learning and digital communication / Brendan J. Frey
Cambridge, Mass : The MIT Press , c1998
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| 3 |
Learning kernel classifiers : theory and algorithms / Ralf Herbrich
: hc. - Cambridge, Mass. : MIT Press , c2002
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| 4 |
Learning with kernels : support vector machines, regularization, optimization, and beyond / Bernhard Schölkopf, Alexander J. Smola
Cambridge, Mass. : MIT Press , c2002
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| 5 |
Introduction to machine learning / Ethem Alpaydın
: hc. - Cambridge, Mass. : MIT Press , c2004
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| 6 |
Introduction to statistical relational learning / edited by Lise Getoor, Ben Taskar
Cambridge, Mass. : MIT Press , c2007
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| 7 |
Machine learning : a probabilistic perspective / Kevin P. Murphy
: hardcover. - Cambridge, Mass. : MIT Press , c2012
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| 8 |
Foundations of machine learning / Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar
Cambridge, MA : MIT Press , c2012
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| 9 |
Introduction to machine learning / Ethem Alpaydin
: hardcover. - 3rd ed. - Cambridge : MIT Press , c2014
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| 10 |
Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville
: hbk. - Cambridge, Mass. : MIT Press , c2016
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| 11 |
Bioinformatics : the machine learning approach / Pierre Baldi, Søren Brunak
: hc. - 2nd ed. - Cambridge, Mass. : The MIT Press , c2001
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| 12 |
Probabilistic graphical models : principles and techniques / Daphne Koller, Nir Friedman
: hardcover. - Cambridge, Mass. : MIT Press , c2009
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| 13 |
Machine learning for data streams : with practical examples in MOA / Albert Bifet ... [et al.]
Cambridge, MA : MIT Press , c2017
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| 14 |
Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto
2nd ed. - Cambridge, MA : MIT Press , c2018
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| 15 |
Machine learning in non-stationary environments : introduction to covariate shift adaptation / Masashi Sugiyama and Motoaki Kawanabe
: hbk. - Cambridge, Mass. ; London : MIT Press , c2012
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| 16 |
Probabilistic machine learning : an introduction / Kevin P. Murphy
: hardcover. - Cambridge, Mass. : The MIT Press , c2022
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