Title: Deep Learning, Author: Ian Goodfellow
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Title: Pattern Recognition and Machine Learning / Edition 1, Author: Christopher M. Bishop
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Title: Bayesian Reasoning and Machine Learning, Author: David Barber
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Title: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning / Edition 1, Author: Te-Ming Huang
Title: Innovations in Machine Learning: Theory and Applications / Edition 1, Author: Dawn E. Holmes
Title: Explanation-Based Neural Network Learning: A Lifelong Learning Approach / Edition 1, Author: Sebastian Thrun
Title: Learning from Data: Concepts, Theory, and Methods / Edition 2, Author: Vladimir Cherkassky
Title: Computational Trust Models and Machine Learning / Edition 1, Author: Xin Liu
Title: The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning / Edition 1, Author: Reuven Y. Rubinstein
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Title: Computational Learning and Probabilistic Reasoning / Edition 1, Author: A. Gammerman
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Title: Recent Advances in Robot Learning: Machine Learning / Edition 1, Author: Judy A. Franklin
Title: Machine Learning in Bioinformatics / Edition 1, Author: Yanqing Zhang

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