Fundamentals of machine learning / Thomas P. Trappenberg, Dalhousie University.
Material type:
TextPublisher: Oxford, United Kingdom : Oxford University Press, ©2020Edition: First editionDescription: xi, 247 p. : ill. ; 25 cmISBN: 9780198828044; 0198828047Subject(s): Machine learningDDC classification: 006.31,TRA
Contents:
Introduction (Page-1), Scientific programming with Python (Page-17), Machine Learning with sklearn (Page-38), Neural networks adn Keras (Page-66), Regression and optimization (Page-93), Basic probability theory (Page-121), Probabilistic regression and Bayes nets (Page-141), Generative modedls (Page-162), Cyclic models and recurrent neural networks (Page-183), Reinforcement learning (Page-206), Artificail intelligence the brain and our society (Page-233).
| Item type | Current location | Home library | Shelving location | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|---|
Book
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Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 006.31,TRA (Browse shelf) | Checked out | Almirah Fresh No.44, Shelf No.2 | 02/14/2026 | MCS38433 |
Total holds: 0
Introduction (Page-1), Scientific programming with Python (Page-17), Machine Learning with sklearn (Page-38), Neural networks adn Keras (Page-66), Regression and optimization (Page-93), Basic probability theory (Page-121), Probabilistic regression and Bayes nets (Page-141), Generative modedls (Page-162), Cyclic models and recurrent neural networks (Page-183), Reinforcement learning (Page-206), Artificail intelligence the brain and our society (Page-233).
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