Christopher M. Bishop (2006) Springer. URL: https://www.microsoft.com/en-us/research/publication/pattern-recognition-machine-learning/ Abstract. A comprehensive graduate-level textbook on statistical pattern recognition and Bayesian machine learning. Covers probability theory, linear models, neural networks, kernel methods, graphical models, and approximate inference. Tags: textbook bayesian statistics url-only Cited in:Chapter 5: Statistics PreviousChristian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, & Zbigniew Wojna (2016) NextColin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, & Peter J. Liu (2019)