Originally developed by Claude Shannon in the 1940s, information theory laid the foundations for the digital revolution, and is now an essential tool in telecommunications, genetics, linguistics, brain sciences, and deep space...

Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural...

"Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning" von James V. Stone bietet eine verständliche Einführung in die mathematischen Grundlagen, die hinter modernen Deep-Learning-Technologien...

Linear regression is the workhorse of data analysis. It is the first step, and often the only step, in fitting a simple model to data. This brief book explains the essential mathematics required to understand and apply regression...