Title: Deep Learning, Author: Ian Goodfellow
Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Author: Trevor Hastie
Title: Pattern Recognition and Machine Learning, Author: Christopher M. Bishop
Title: Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications, Author: Bhanu Chander
Title: Algorithms for Decision Making, Author: Mykel J. Kochenderfer
Title: Patterns, Predictions, and Actions: Foundations of Machine Learning, Author: Moritz Hardt
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Bayesian Reasoning and Machine Learning, Author: David Barber
Title: Machine Learning in Production: From Models to Products, Author: Christian Kastner
Title: Learning Theory from First Principles, Author: Francis Bach
Title: Prediction, Learning, and Games, Author: Nicolo Cesa-Bianchi
Title: AI in Chemical Engineering: Unlocking the Power Within Data, Author: José A. Romagnoli
Title: Distributional Reinforcement Learning, Author: Marc G. Bellemare
Title: Introduction to Online Convex Optimization, second edition, Author: Elad Hazan
Title: Kernel Methods for Pattern Analysis, Author: John Shawe-Taylor
Title: Artificial Intelligence: A Systems Approach from Architecture Principles to Deployment, Author: David R. Martinez
Title: How to Find a Needle in a Haystack: From the Insider Threat to Solo Perpetrators, Author: Yair Neuman
Title: Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing, Author: Amit Kumar Tyagi
Title: Probabilistic Machine Learning: Advanced Topics, Author: Kevin P. Murphy

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