Title: Deep Learning, Author: Ian Goodfellow
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
Title: Pattern Recognition and Machine Learning / Edition 1, Author: Christopher M. Bishop
Title: Prediction, Learning, and Games, Author: Nicolo Cesa-Bianchi
Title: Optimal Learning / Edition 1, Author: Warren B. Powell
Title: Bayesian Reasoning and Machine Learning, Author: David Barber
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: Kernel Methods for Pattern Analysis / Edition 1, Author: John Shawe-Taylor
Title: Bayesian Networks and Decision Graphs / Edition 2, Author: Thomas Dyhre Nielsen
Title: Symbolic Visual Learning / Edition 1, Author: Katsushi Ikeuchi
Title: Innovations in Machine Learning: Theory and Applications / Edition 1, Author: Dawn E. Holmes
Title: Phase Transitions in Machine Learning, Author: Lorenza Saitta
Title: Deep Learning Neural Networks: Design And Case Studies, Author: Daniel Graupe
Title: Deep Learning in Computer Vision: Principles and Applications / Edition 1, Author: Mahmoud Hassaballah
Title: Learning with Nested Generalized Exemplars / Edition 1, Author: Steven L. Salzberg
Title: Knowledge Discovery with Support Vector Machines / Edition 1, Author: Lutz H. Hamel
Title: Algorithmic Learning in a Random World / Edition 1, Author: Vladimir Vovk
Title: Brain and Perception: Holonomy and Structure in Figural Processing / Edition 1, Author: Karl H. Pribram
Title: Advances in Computational Intelligence and Learning: Methods and Applications / Edition 1, Author: Hans-Jïrgen Zimmermann
Title: Robot Learning / Edition 1, Author: J. H. Connell

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