Title: Deep Learning: Foundations and Concepts, Author: Christopher M. Bishop
Title: Pattern Recognition and Machine Learning, Author: Christopher M. Bishop
Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: GeoAI: Artificial Intelligence in GIS, Author: Ismael Chivite
Title: Introduction to Machine Learning, fourth edition, Author: Ethem Alpaydin
Title: Linear Algebra for Data Science, Machine Learning, and Signal Processing, Author: Jeffrey A. Fessler
Title: Mathematics for Machine Learning, Author: Marc Peter Deisenroth
Title: Deep Generative Modeling, Author: Jakub M. Tomczak
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Author: Yoav Shoham
Title: Algorithms for Decision Making, Author: Mykel J. Kochenderfer
Title: Mathematical Techniques In Multisensor Data Fusion 2nd Ed., Author: David Hall
Title: Bayesian Optimization, Author: Roman Garnett
Title: Multisensor Data Fusion, Author: Edward L Waltz
Title: Large Vision-Language Models: Pre-training, Prompting, and Applications, Author: Kaiyang Zhou
Title: Bandit Algorithms, Author: Tor Lattimore
Title: AI Ethics: A Textbook, Author: Paula Boddington
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

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