Probabilistic Numerics. Computation as Machine Learning, Hardback/***

This text provides a first comprehensive introduction to probabilistic numerics, aimed at Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. It contains extensive background material, and uses figures, exercises, and worked examples to develop intuition. Publisher: Cambridge University Press Author(s): Hans P. (Ecole Normale Superieure, Paris) Kersting Number of pages: 410 Publication date: 2022 Dimensions: 211 x 259 x 25 Cover type: Hardback