Title: Deep Learning: Foundations and Concepts, Author: Christopher M. Bishop
Title: Deep Learning, Author: Ian Goodfellow
Title: Linear Algebra for Data Science, Machine Learning, and Signal Processing, Author: Jeffrey A. Fessler
Title: Foundations of Robotics, Author: Bruno Siciliano
Title: Multimodal Generative AI, Author: Akansha Singh
Title: Knowledge Representation and Reasoning / Edition 1, Author: Ronald Brachman
Title: Artificial Intelligence Methods For Software Engineering, Author: Meir Kalech
Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: Phenomenology of Perception, Author: Maurice Merleau-Ponty
Title: Bandit Algorithms, Author: Tor Lattimore
Title: Probabilistic Machine Learning: Advanced Topics, Author: Kevin P. Murphy
Title: Graded Logic: Modeling Human Commonsense Reasoning in Decision-Making and AI, Author: Jozo Dujmovic
Title: Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications, Author: Bhanu Chander
Title: Pattern Recognition and Machine Learning, Author: Christopher M. Bishop
Title: Mathematics for Machine Learning, Author: Marc Peter Deisenroth
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Author: Trevor Hastie
Title: Mathematical Foundations of Reinforcement Learning, Author: Shiyu Zhao
Title: Planning Algorithms, Author: Steven M. LaValle
Title: Artificial Intelligence for Marketing: Practical Applications, Author: Jim Sterne
Title: Real-Time C++: Efficient Object-Oriented and Template Microcontroller Programming, Author: Christopher Kormanyos

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