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: Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems / Edition 1, Author: Martin V. Butz
Title: Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions / Edition 1, Author: Frances Buontempo
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: Enhancing Computer Security with Smart Technology / Edition 1, Author: V. Rao Vemuri
Title: Innovations in Machine Learning: Theory and Applications / Edition 1, Author: Dawn E. Holmes
Title: Phase Transitions in Machine Learning, Author: Lorenza Saitta
Title: Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics, Author: Anirban DasGupta
Title: Deep Learning Neural Networks: Design And Case Studies, Author: Daniel Graupe
Title: Learning and Generalisation: With Applications to Neural Networks / Edition 2, Author: Mathukumalli Vidyasagar
Title: Innovations in Machine Learning: Theory and Applications / Edition 1, Author: Dawn E. Holmes
Title: Deep Learning in Computer Vision: Principles and Applications / Edition 1, Author: Mahmoud Hassaballah

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