Title: Deep Learning, Author: Ian Goodfellow
Title: Pattern Recognition and Machine Learning / Edition 1, Author: Christopher M. Bishop
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
Title: Advances in Bayesian Networks / Edition 1, Author: Josï A. Gïmez
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Real-World Machine Learning / Edition 1, Author: Henrik Brink
Title: Data Mining With Decision Trees: Theory And Applications, Author: Lior Rokach
Title: Machine Learning, Meta-Reasoning and Logics / Edition 1, Author: Pavel B. Brazdil
Title: Deep Learning Neural Networks: Design And Case Studies, Author: Daniel Graupe
Title: Self-Adaptive Systems for Machine Intelligence / Edition 1, Author: Haibo He
Title: Deep Learning in Computer Vision: Principles and Applications / Edition 1, Author: Mahmoud Hassaballah
Title: Super-Intelligent Machines / Edition 1, Author: Bill Hibbard
Title: Bayesian Reasoning and Machine Learning, Author: David Barber
Title: Advances in Learning Theory: Methods, Models and Applications, Author: J. Suykens
Title: Machine Learning for Multimodal Interaction: 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Papers / Edition 1, Author: Andrei Popescu-Belis
Title: Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques, Author: Fabio A. Gonzalez
Title: Reinforcement Learning, second edition: An Introduction / Edition 2, Author: Richard S. Sutton
Title: Genetic Algorithms for Machine Learning / Edition 1, Author: John J. Grefenstette
Title: Brain-Computer Interfaces: An international assessment of research and development trends / Edition 1, Author: Theodore W. Berger
Title: Abductive Reasoning and Learning / Edition 1, Author: Dov M. Gabbay

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