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Title: Understanding Deep Learning, Author: Simon J.D. Prince
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: Foundations of Computer Vision, Author: Antonio Torralba
Title: Algorithms for Decision Making, Author: Mykel J. Kochenderfer
Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
Title: Machine Learning in Production: From Models to Products, Author: Christian Kastner
Title: Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning, Author: Robert Stevens
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Title: Introduction to Online Convex Optimization, second edition, Author: Elad Hazan
Title: Patterns, Predictions, and Actions: Foundations of Machine Learning, Author: Moritz Hardt
Title: Machine Learning In Pure Mathematics And Theoretical Physics, Author: Yang-hui He
Title: AI in Chemical Engineering: Unlocking the Power Within Data, Author: José A. Romagnoli
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Title: Optimal Learning / Edition 1, Author: Warren B. Powell
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Title: Big Data, Data Mining and Data Science: Algorithms, Infrastructures, Management and Security, Author: George Dimitoglou

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