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1.
An introduction to computational learning theory / Michael J. Kearns, Umesh V. Vazirani.

by Kearns, Michael J | Vazirani, Umesh Virkumar.

Material type: Text Text; Format: print ; Literary form: Not fiction Publisher: Cambridge, Mass. : MIT Press, c1994Availability: Items available for reference: [Call number: 006.3 K214i] (1).
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2.
Machine Learning in Python : essential techniques for predictive analysis / Michael Bowles.

by Bowles, Michael [author.].

Material type: Text Text; Format: print ; Literary form: Not fiction Publisher: Indianapolis, IN : New Delhi : John Wiley & Sons, Inc., c2015. [reprint 2018]Availability: Items available for loan: [Call number: 006.31 B681m] (2). Items available for reference: [Call number: 006.31 B681m] (1).
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3.
Learning TensorFlow : a guide to building deep learning systems / Tom Hope, Yehezkel S. Resheff, and Itay Lieder.

by BD-CoBAI (Data scientist) [author.] | Resheff, Yehezkel S [author.] | Lieder, Itay [author.].

Edition: 1st ed.Material type: Text Text; Format: print ; Literary form: Not fiction Publisher: Sebastopol, CA : New Delhi : O'Reilly Media, Shroff Publishers & Distributors Pvt. Ltd., c2017Availability: Items available for loan: [Call number: 006.3/1 H771l] (2). Items available for reference: [Call number: 006.3/1 H771l] (1).
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4.
Fundamentals of deep learning : designing next-generation machine intelligence algorithms / Nikhil Buduma ; with contributions by Nicholas Locascio.

by Buduma, Nikhil | Locascio, Nicholas.

Edition: 1st ed.Material type: Text Text; Format: print ; Literary form: Not fiction Publisher: Sebastopol, CA : New Delhi : O'Reilly Media, Shroff Publishers & Distributors Pvt. Ltd., c2017Other title: Designing next-generation machine intelligence algorithms.Availability: Items available for loan: [Call number: 006.3/1 B8599f] (2). Items available for reference: [Call number: 006.3/1 B8599f] (1).
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