Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Author: Trevor Hastie
Title: Deep Learning, Author: Ian Goodfellow
Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
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: Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning, Author: Robert Stevens
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Machine Learning in Production: From Models to Products, Author: Christian Kastner
Title: Prediction, Learning, and Games, Author: Nicolo Cesa-Bianchi
Title: Patterns, Predictions, and Actions: Foundations of Machine Learning, Author: Moritz Hardt
Title: AI in Chemical Engineering: Unlocking the Power Within Data, Author: José A. Romagnoli
Title: Probabilistic Machine Learning: Advanced Topics, Author: Kevin P. Murphy
Title: Fairness and Machine Learning: Limitations and Opportunities, Author: Solon Barocas
Title: Bayesian Reasoning and Machine Learning, Author: David Barber
Title: Brain and Perception: Holonomy and Structure in Figural Processing, Author: Karl H. Pribram
Title: Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science, Author: Inam Ullah
Title: Digital Defence: Harnessing the Power of Artificial Intelligence for Cybersecurity and Digital Forensics, Author: Ahlad Kumar
Title: Artificial Intelligence: A Driver of Inclusive Development and Shared Prosperity for the Global South, Author: Arthur G.O. Mutambara

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