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: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
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: Introduction to Machine Learning and Bioinformatics / Edition 1, Author: Sushmita Mitra
Title: Super-Intelligent Machines / Edition 1, Author: Bill Hibbard
Title: Transfer Learning / Edition 1, Author: Qiang Yang
Title: Web Data Mining and the Development of Knowledge-Based Decision Support Systems, Author: G. Sreedhar
Title: Learning with Uncertainty / Edition 1, Author: Xizhao Wang
Title: Handbook of Learning and Approximate Dynamic Programming / Edition 1, Author: Jennie Si
Title: Knowledge Discovery with Support Vector Machines / Edition 1, Author: Lutz H. Hamel
Title: Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics / Edition 1, Author: Anirban DasGupta
Title: Brain-Computer Interfaces: An international assessment of research and development trends / Edition 1, Author: Theodore W. Berger
Title: Machine Intelligence 13: Machine Intelligence and Inductive Learning, Author: K. Furukawa

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