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: 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: Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques, Author: Fabio a Gonzalez
Title: Innovations in Machine Learning: Theory and Applications / Edition 1, Author: Dawn E. Holmes
Title: Concept Data Analysis: Theory and Applications / Edition 1, Author: Claudio Carpineto
Title: Machine Learning and its Applications / Edition 1, Author: Peter Wlodarczak
Title: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning / Edition 1, Author: Te-Ming Huang
Title: Machine Learning and Data Mining for Computer Security: Methods and Applications / Edition 1, Author: Marcus A. Maloof
Title: Bayesian Networks and Decision Graphs / Edition 2, Author: Thomas Dyhre Nielsen
Title: Design and Control of Intelligent Robotic Systems / Edition 1, Author: Dikai Liu
Title: Pattern Classification Using Ensemble Methods, Author: Lior Rokach
Title: Machine Learning in Bioinformatics / Edition 1, Author: Yanqing Zhang
Title: Learning from Data: Concepts, Theory, and Methods / Edition 2, Author: Vladimir Cherkassky
Title: Introduction to Machine Learning and Bioinformatics / Edition 1, Author: Sushmita Mitra

Pagination Links