Probabilistic Numerics : Computation as Machine Learning

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.

• | : Philipp Hennig (Eberhard-Karls-Universitat Tubingen, Germany), Michael A. Osborne (University of Oxford), Hans P. Kersting (Ecole Normale Superieure, Paris)
• | Publisher: Cambridge University Press
• | Publication Date: Jun 30, 2022
• | Country of Publication: United Kingdom
• | Number of Pages: 410 pages
• | Language: Unknown
• | Binding: Hardback
• | ISBN-10: 1107163447
• | ISBN-13: 9781107163447