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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Probabilistic Numerics - Computation as Machine Learning (Hardcover) Loot Price: R1,726
Discovery Miles 17 260
You Save: R130 (7%)
Probabilistic Numerics - Computation as Machine Learning (Hardcover): Philipp Hennig, Michael A. Osborne, Hans P. Kersting

Probabilistic Numerics - Computation as Machine Learning (Hardcover)

Philipp Hennig, Michael A. Osborne, Hans P. Kersting

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Was R1,856 Loot Price R1,726 Discovery Miles 17 260 | Repayment Terms: R162 pm x 12* You Save R130 (7%)

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Probabilistic numerical computation formalises the connection between machine learning and applied mathematics. Numerical algorithms approximate intractable quantities from computable ones. They estimate integrals from evaluations of the integrand, or the path of a dynamical system described by differential equations from evaluations of the vector field. In other words, they infer a latent quantity from data. This book shows that it is thus formally possible to think of computational routines as learning machines, and to use the notion of Bayesian inference to build more flexible, efficient, or customised algorithms for computation. The text caters for Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. Extensive background material is provided along with a wealth of figures, worked examples, and exercises (with solutions) to develop intuition.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: June 2022
Authors: Philipp Hennig • Michael A. Osborne • Hans P. Kersting
Dimensions: 260 x 208 x 23mm (L x W x T)
Format: Hardcover
Pages: 410
ISBN-13: 978-1-107-16344-7
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 1-107-16344-7
Barcode: 9781107163447

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