Pattern Recognition and Machine Learning - by Christopher M. Bishop

Bishop’s seminal book provides a thorough introduction to statistical pattern recognition and machine learning, focusing on probabilistic models and inference techniques. It combines theory with practical examples, covering topics like Bayesian networks, support vector machines, and neural networks.