Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
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
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
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: Prediction, Learning, and Games, Author: Nicolo Cesa-Bianchi
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: Pattern Classification Using Ensemble Methods, Author: Lior Rokach
Title: Phase Transitions in Machine Learning, Author: Lorenza Saitta
Title: Knowledge Discovery with Support Vector Machines / Edition 1, Author: Lutz H. Hamel
Title: Computational Learning and Probabilistic Reasoning / Edition 1, Author: A. Gammerman
Title: Machine Learning, Meta-Reasoning and Logics / Edition 1, Author: Pavel B. Brazdil
Title: Strength or Accuracy: Credit Assignment in Learning Classifier Systems / Edition 1, Author: Tim Kovacs
Title: Super-Intelligent Machines / Edition 1, Author: Bill Hibbard
Title: Robot Learning by Visual Observation / Edition 1, Author: Aleksandar Vakanski
Title: Brain and Perception: Holonomy and Structure in Figural Processing / Edition 1, Author: Karl H. Pribram
Title: Machine Reconstruction in Human Control Strategies, Author: D. Suc
Title: Machine Intelligence 14: Applied Machine Intelligence / Edition 14, Author: K. Furukawa

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