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1. Bayesian learning for neural networks / Radford M. Neal.

by Neal, Radford M.

Publisher: New York : Springer, 1996Availability: Items available for loan: [Call number: QA279.5 .N43 1996] (1).
2. Recurrent neural networks for prediction : learning algorithms, architectures, and stability / Danilo P. Mandic, Jonathon A. Chambers.

by Mandic, Danilo P | Chambers, Jonathon A.

Publisher: Chichester ; New York : John Wiley, c2001Availability: Items available for loan: [Call number: Q325.5 .M36 2001] (1).
3. An introduction to support vector machines : and other kernel-based learning methods / Nello Cristianini and John Shawe-Taylor.

by Cristianini, Nello, 1968- | Shawe-Taylor, John.

Publisher: Cambridge ; New York : Cambridge University Press, 2000Availability: Items available for loan: [Call number: Q325.5 .C75 2000] (1).
4. The elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations / Trevor Hastie, Robert Tibshirani, Jerome Friedman.

by Hastie, Trevor | Tibshirani, Robert | Friedman, J. H. (Jerome H.).

Publisher: New York : Springer, c2001Availability: Items available for loan: [Call number: Q325.75 .H37 2001] (1).
5. Introduction to machine learning / Ethem Alpaydın.

by Alpaydin, Ethem.

Publisher: Cambridge, Mass. : MIT Press, c2004Availability: Items available for loan: [Call number: Q325.5 .A44 2004] (1).
6. Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications / Brett Lantz.

by Lantz, Brett [author.].

Publisher: Birmingham, UK : Packt Publishing, 2013Copyright date: �2013Availability: Items available for loan: [Call number: QA276.45.R3 L36 2013] (1).
7. Proceedings of the 6th International Workshop on Climate Informatics:CI 2016 /A. Banerjee, W. Ding, J. Dy, V. Lyubchich, A. Rhines (Eds.), I. Ebert-Uphoff, C. Monteleoni, D. Nychka (Series Eds.)

by Banerjee, Arindam (ed.) | National Center for Atmospheric Research (U.S.)., Computational and Information Systems Laboratory (CISL) Institute for Mathematics Applied to the Geosciences (IMAGe) | National Center for Atmospheric Research.

Publisher: Boulder, Colo. : National Center for Atmospheric Research, 2016Online access: Click here to access online Availability: Items available for loan: [Call number: 03735] (1).
8. Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

by Goodfellow, Ian [author.] | Bengio, Yoshua [author.] | Courville, Aaron [author.].

Publisher: Cambridge, Massachusetts : The MIT Press, [2016]Copyright date: 2016Availability: No items available Checked out (1).
9. Python machine learning by example : easy-to-follow examples that get you up and running with machine learning / Yuxi (Hayden) Liu.

by Liu, Yuxi (Hayden).

Publisher: Birmingham : Packt, 2017Availability: No items available Checked out (1).
10. Fundamentals of deep learning : designing next-generation machine intelligence algorithms / Nikhil Buduma ; with contributions by Nicholas Locascio.

by Buduma, Nikhil [author.] | Locascio, Nicholas [author.].

Edition: First edition.Publisher: Sebastopol, CA : O'Reilly Media, 2017Other title: Designing next-generation machine intelligence algorithms.Availability: Items available for loan: [Call number: QA325.5 .A78 B83 2017] (1).
11. Deep learning : a practitioner's approach / Josh Patterson and Adam Gibson.

by Patterson, Josh (Consultant) [author.] | Gibson, Adam [author.].

Edition: First edition.Publisher: Boston : O'Reilly, 2017Availability: No items available Checked out (1).
12. Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurelien Geron.

by Geron, Aurelien [author.].

Edition: First edition.Publisher: Beijing O'Reilly, 2017Availability: No items available Checked out (1).

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