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: Introduction to Natural Language Processing, Author: Jacob Eisenstein
Title: Microsensors, MEMS, and Smart Devices, Author: Julian W. Gardner
Title: Multimodal Generative AI, Author: Akansha Singh
Title: Pattern Recognition and Machine Learning, Author: Christopher M. Bishop
Title: Seventh Scandinavian Conference on Artifical Intelligence: Faia, Author: H.H. Lund
Title: Knowledge Representation and Reasoning / Edition 1, Author: Ronald Brachman
Title: Artificial Intelligence Methods For Software Engineering, Author: Meir Kalech
Title: Foundations of Robotics, Author: Bruno Siciliano
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Author: Trevor Hastie
Title: Mathematics for Machine Learning, Author: Marc Peter Deisenroth
Title: Bandit Algorithms, Author: Tor Lattimore
Title: Computer Vision: Algorithms and Applications, Author: Richard Szeliski
Title: Deep Generative Modeling, Author: Jakub M. Tomczak
Title: Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications, Author: Bhanu Chander
Title: Phenomenology of Perception, Author: Maurice Merleau-Ponty
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Mathematical Foundations of Reinforcement Learning, Author: Shiyu Zhao

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