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Title: Pattern Recognition and Machine Learning, Author: Christopher M. Bishop
Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: Generative AI and LLMs: Natural Language Processing and Generative Adversarial Networks, Author: S. Balasubramaniam
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Author: Trevor Hastie
Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
Title: Linear Algebra for Data Science, Machine Learning, and Signal Processing, Author: Jeffrey A. Fessler
Title: Deep Learning, Author: Ian Goodfellow
Title: Computer Vision: Algorithms and Applications, Author: Richard Szeliski
Title: Bandit Algorithms, Author: Tor Lattimore
Title: GeoAI: Artificial Intelligence in GIS, Author: Ismael Chivite
Title: Mathematics for Machine Learning, Author: Marc Peter Deisenroth
Title: Network Models in Finance: Expanding the Tools for Portfolio and Risk Management, Author: Gueorgui S. Konstantinov
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms, Author: Nikolaus Correll
Title: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions, Author: Bing Liu
Title: Algorithms for Decision Making, Author: Mykel J. Kochenderfer
Title: Patterns, Predictions, and Actions: Foundations of Machine Learning, Author: Moritz Hardt
Title: The Evolution of the Sensitive Soul: Learning and the Origins of Consciousness, Author: Simona Ginsburg
Title: AI Ethics: A Textbook, Author: Paula Boddington

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