Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition

Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas

Pattern Classification

CCTV: From Light to Pixels

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Programming Computer Vision with Python: Tools and algorithms for analyzing images

LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems

Artificial Intelligence: An Illustrated History: From Medieval Robots to Neural Networks (Union Square & Co. Illustrated Histories)