Title: Machine Learning: Algorithms and Applications / Edition 1, Author: Mohssen Mohammed
Title: Machine Learning Projects for .NET Developers / Edition 1, Author: Mathias Brandewinder
Title: Computational Trust Models and Machine Learning / Edition 1, Author: Xin Liu
Title: Evaluating Learning Algorithms: A Classification Perspective, Author: Nathalie Japkowicz
Title: Soft Computing in Machine Learning, Author: Sang-Yong Rhee
Title: Machine Learning with R: R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required '�� this book will take you methodically through every stage of applying machine learning., Author: Brett Lantz
Title: Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics, Author: Anirban DasGupta
Title: Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research / Edition 1, Author: Jun Yu
Title: Reinforcement and Systemic Machine Learning for Decision Making / Edition 1, Author: Parag Kulkarni
Title: Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives / Edition 1, Author: Jose C. Principe
Title: Optimal Learning / Edition 1, Author: Warren B. Powell
Title: Learning in Non-Stationary Environments: Methods and Applications / Edition 1, Author: Moamar Sayed-Mouchaweh
Title: Ensemble Machine Learning: Methods and Applications / Edition 1, Author: Cha Zhang
Title: Bayesian Reasoning and Machine Learning, Author: David Barber
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: Machine Learning and Data Mining for Computer Security: Methods and Applications / Edition 1, Author: Marcus A. Maloof
Title: The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning / Edition 1, Author: Reuven Y. Rubinstein
Title: Self-Adaptive Systems for Machine Intelligence / Edition 1, Author: Haibo He
Title: Phase Transitions in Machine Learning, Author: Lorenza Saitta
Title: Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics / Edition 1, Author: Anirban DasGupta

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