1. Bayesian learning for neural networks

by Neal, Radford M.

Publisher: New York : Springer, 1996Availability: Copies available for loan: [QA279.5 .N43 1996] (1). Actions: Place hold
2. Recurrent neural networks for prediction : learning algorithms, architectures, and stability

by Mandic, Danilo P; Chambers, Jonathon A.

Publisher: Chichester ; New York : John Wiley, c2001Availability: Copies available for loan: [Q325.5 .M36 2001] (1). Actions: Place hold
3. An introduction to support vector machines : and other kernel-based learning methods

by Cristianini, Nello; Shawe-Taylor, John.

Publisher: Cambridge ; New York : Cambridge University Press, 2000Availability: Copies available for loan: [Q325.5 .C75 2000] (1). Actions: Place hold
4. The elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations

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

Publisher: New York : Springer, c2001Availability: Copies available for loan: [Q325.75 .H37 2001] (1). Actions: Place hold
5. Introduction to machine learning

by Alpaydin, Ethem.

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

by Lantz, Brett.

Availability: Copies available for loan: [QA276.45.R3 L36 2013] (1). Actions: Place hold
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: Copies available for loan: [03735] (1). Actions: Place hold
No cover image available
8. Deep learning

by Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron.

Availability: No copies available Checked out (1). Actions: Place hold
9. Python machine learning by example : easy-to-follow examples that get you up and running with machine learning

by Liu, Yuxi (Hayden).

Publisher: Birmingham : Packt, 2017Availability: Copies available for loan: [QA76.73 .P98 L783 2017] (1). Actions: Place hold
10. Fundamentals of deep learning : designing next-generation machine intelligence algorithms

by Buduma, Nikhil; Locascio, Nicholas.

Edition: First edition.Other title: Designing next-generation machine intelligence algorithms.Availability: Copies available for loan: [QA325.5 .A78 B83 2017] (1). Actions: Place hold
11. Deep learning : a practitioner's approach

by Patterson, Josh (Consultant); Gibson, Adam.

Edition: First edition.Availability: Copies available for loan: [QA325.5 .P38 2017] (1). Actions: Place hold
12. Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems

by Geron, Aurelien.

Edition: First edition.Availability: Copies available for loan: [Q325.5 .G47 2017] (1). Actions: Place hold

Any questions? Ask a Librarian.

Not finding what you are looking for? Request-It - InterLibrary Loan.

Languages: