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Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Algorithms for Decision Making, Author: Mykel J. Kochenderfer
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Author: Trevor Hastie
Title: Patterns, Predictions, and Actions: Foundations of Machine Learning, Author: Moritz Hardt
Title: Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing, Author: Amit Kumar Tyagi
Title: Fairness and Machine Learning: Limitations and Opportunities, Author: Solon Barocas
Title: Learning Theory from First Principles, Author: Francis Bach
Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
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Title: Bayesian Reasoning and Machine Learning, Author: David Barber
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Title: Artificial Intelligence: A Systems Approach from Architecture Principles to Deployment, Author: David R. Martinez
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Title: Distributional Reinforcement Learning, Author: Marc G. Bellemare
Title: Probabilistic Machine Learning: Advanced Topics, Author: Kevin P. Murphy
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Title: Handbook of Learning and Approximate Dynamic Programming, Author: Jennie Si

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