Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Deep Learning in Computer Vision: Principles and Applications / Edition 1, Author: Mahmoud Hassaballah
Title: Probabilistic Approaches For Social Media Analysis: Data, Community And Influence, Author: Kun Yue
Title: Transfer Learning / Edition 1, Author: Qiang Yang
Title: Machine Learning and its Applications / Edition 1, Author: Peter Wlodarczak
Title: Applied Genetic Programming and Machine Learning / Edition 1, Author: Hitoshi Iba
Title: Introduction to Statistical Relational Learning, Author: Lise Getoor
Title: Introduction to Machine Learning and Bioinformatics / Edition 1, Author: Sushmita Mitra
Title: Enhancing Computer Security with Smart Technology / Edition 1, Author: V. Rao Vemuri
Title: The Mathematics Of Generalization / Edition 1, Author: David. H Wolpert
Title: Reinforcement Learning, second edition: An Introduction / Edition 2, Author: Richard S. Sutton
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: Iterative Learning Control for Multi-agent Systems Coordination / Edition 1, Author: Shiping Yang
Title: Web Data Mining and the Development of Knowledge-Based Decision Support Systems, Author: G. Sreedhar
Title: Robot Learning by Visual Observation / Edition 1, Author: Aleksandar Vakanski
Title: Deep Learning, Author: Ian Goodfellow
Title: Learning with Uncertainty / Edition 1, Author: Xizhao Wang
Title: Machine Learning and Medical Imaging, Author: Guorong Wu
Title: Deep Learning Neural Networks: Design And Case Studies, Author: Daniel Graupe
Title: Machine Learning: Algorithms and Applications / Edition 1, Author: Mohssen Mohammed

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