1.

図書
図書
1. Python machine learning : unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics
Sebastian Raschka
出版情報: Birmingham : Packt Pub., 2015
シリーズ名: Packt open source ; . Community experience distilled
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2.

図書
図書
2. Machine learning : a probabilistic perspective. 4th printing
Kevin P. Murphy
出版情報: Cambridge, Mass. : MIT Press, c2012
シリーズ名: Adaptive computation and machine learning
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3.

図書
図書
3. Deep learning for the life sciences : applying deep learning to genomics, microscopy, drug discovery and more
Bharath Ramsundar ... [et al.]
出版情報: Sebastopol, CA : O'Reilly Media, c2019
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4.

図書
図書
4. Nonnegative matrix and tensor factorizations : applications to exploratory multi-way data analysis and blind source separation
Andrzej Cichocki ... [et al.]
出版情報: Chichester, West Sussex : John Wiley & Sons, 2009
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5.

図書
図書
5. A theory of learning and generalization : with applications to neural networks and control systems
M. Vidyasagar
出版情報: London : Springer, 1997
シリーズ名: Communications and control engineering
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6.

図書
図書
6. Bayesian learning for neural networks
Radford M. Neal
出版情報: New York : Springer-Verlag, c1996
シリーズ名: Lecture notes in statistics ; 118
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7.

図書
図書
7. Learning from good and bad data
Philip D. Laird
出版情報: Boston : Kluwer Academic Publishers, c1988
シリーズ名: The Kluwer international series in engineering and computer science ; . Knowledgee representation, learning and expert systems ; SECS 47
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8.

図書
図書
8. Perceptrons : an introduction to computational geometry. Expanded ed
Marvin Minsky and Seymour Papert
出版情報: Cambridge, Mass. : MIT Press, 1988
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9.

図書
図書
9. Pattern recognition and machine learning
Yuichiro Anzai
出版情報: Boston : Academic Press, c1992
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10.

図書
図書
10. C4.5 : programs for machine learning
J. Ross Quinlan
出版情報: San Mateo, Calif. : Morgan Kaufmann Publishers, c1993
シリーズ名: The Morgan Kaufmann series in machine learning
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