Artificial Intelligence · Probabilistic & Bayesian Methods
A topic within Probabilistic & Bayesian Methods, itself one of 9 topics in that field and part of Artificial Intelligence.
2 works
David J. C. MacKay
Treats coding, inference and neural networks as one subject, on the argument that compressing data and predicting it are the same problem stated twice.
link checked 17 Sept 2026Christopher M. Bishop
Derives the standard machine learning algorithms from probabilistic assumptions rather than presenting them as optimisation recipes, which makes their failure modes predictable.
link checked 17 Sept 2026