Information theory, inference, and learn
โ MacKay D J C
๐ Library
๐ Cambridge University Press
๐ English
โ Scribed by David J.C. MacKay
No coin nor oath required. For personal study only.
Chap 2
Probabilities and ensembles
๐ SIMILAR VOLUMES
Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational