Title: Deep Learning, Author: Ian Goodfellow
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Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
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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 Methods for Pattern Analysis / Edition 1, Author: John Shawe-Taylor
Title: Bayesian Networks and Decision Graphs / Edition 2, Author: Thomas Dyhre Nielsen
Title: Investigating Explanation-Based Learning / Edition 1, Author: Gerald DeJong
Title: Genetic Learning for Adaptive Image Segmentation / Edition 1, Author: Bir Bhanu
Title: Artificial Neural Networks: Learning Algorithms, Performance Evaluation, and Applications / Edition 1, Author: Nicolaos Karayiannis
Title: Self-Adaptive Systems for Machine Intelligence / Edition 1, Author: Haibo He
Title: Machine Learning and Data Mining for Computer Security: Methods and Applications / Edition 1, Author: Marcus A. Maloof
Title: Phase Transitions in Machine Learning, Author: Lorenza Saitta
Title: Automatic Learning Techniques in Power Systems / Edition 1, Author: Louis A. Wehenkel
Title: Multi-Objective Machine Learning / Edition 1, Author: Yaochu Jin
Title: Adaptivity and Learning: An Interdisciplinary Debate / Edition 1, Author: Reimer Kïhn
Title: Deep Learning Neural Networks: Design And Case Studies, Author: Daniel Graupe
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Title: Machine Learning, Meta-Reasoning and Logics / Edition 1, Author: Pavel B. Brazdil

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