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