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: Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, Author: Anne Laurent
Title: Machine Learning: Algorithms and Applications / Edition 1, Author: Mohssen Mohammed
Title: Machine Intelligence 13: Machine Intelligence and Inductive Learning, Author: K. Furukawa
Title: Machine Learning and Statistical Modeling Approaches to Image Retrieval / Edition 1, Author: Yixin Chen
Title: Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics / Edition 1, Author: Anirban DasGupta
Title: Computational Learning and Probabilistic Reasoning / Edition 1, Author: A. Gammerman
Title: Robot Learning by Visual Observation / Edition 1, Author: Aleksandar Vakanski
Title: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning / Edition 1, Author: Te-Ming Huang
Title: Machine Intelligence 14: Applied Machine Intelligence / Edition 14, Author: K. Furukawa
Title: Advances in Bayesian Networks / Edition 1, Author: José A. Gámez
Title: Machine Learning for Human Motion Analysis: Theory and Practice, Author: Liang Wang

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