Discussion: Pattern Recognition and Machine Learning

Author: Christopher M. Bishop

Description: 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.

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