Pattern Recognition and Machine Learning

This document is a comprehensive textbook on pattern recognition and machine learning, covering foundational concepts, various models including linear, kernel, neural network, graphical, mixture, sampling, and sequential models, along with approximate inference techniques and appendices on mathematical topics.