Probabilistic Numerics : (Record no. 7202)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01759nam a2200253 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251017160406.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241213b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781107163447 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | HenP |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Hennig, Philipp |
| 245 ## - TITLE STATEMENT | |
| Title | Probabilistic Numerics : |
| Remainder of title | Computation as Machine Learning / |
| Statement of responsibility, etc | Philipp Hennig, Michael A. Osborne and Hans P. Kersting |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Cambridge: |
| Name of publisher | Cambridge University Press; |
| Year of publication | ©2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xii, 410p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer science, information & general works |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer science, knowledge & systems |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Special computer methods |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial Intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine Learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Osborne, Michael A. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kersting, Hans P. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Purchase Price | Bill number | Full call number | Accession Number | Copy number | Print Price | Bill Date/Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science | Indian Institute of Technology Tirupati | Indian Institute of Technology Tirupati | General Stacks | 30/07/2025 | Today and Tomorrows Printers and Publishers | 4485.59 | TTPP/130/2025-26 | 006.31 HenP (11474) | 11474 | Copy 1 | 6407.98 | 30/07/2025 | Books |