Information theory, inference, and learning algorithms / David J.C. MacKay.
Publication details: Cambridge, UK : Cambridge University Press, 2022.Description: xii, 628 p. : ill. ; 26 cmISBN:- 9780521670517 (Pbk)
- 003.54 M192I 23
- Q360 .M23 2003
| Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | |
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Central Library, IISER Bhopal General Section | 003.54 M192I (Browse shelf(Opens below)) | Available | 12237 | ||||
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Central Library, IISER Bhopal General Section | 003.54 M192I (Browse shelf(Opens below)) | Available | 12238 | ||||
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Central Library, IISER Bhopal Reference Section | Reference | 003.54 M192I (Browse shelf(Opens below)) | Not For Loan | Title recommended by Dr Ankur Raina | 12236 |
Browsing Central Library, IISER Bhopal shelves, Shelving location: Reference Section, Collection: Reference Close shelf browser (Hides shelf browser)
| 003.54 C838E2 Elements of information theory | 003.54 L646C Coding theory : | 003.54 L828B Boolean functions in coding theory and cryptography | 003.54 M192I Information theory, inference, and learning algorithms / | 003.54 N552A Algebraic geometry in coding theory and cryptography | 003.54 R742I Introduction to coding theory | 003.54 T789A Algebraic-geometric codes |
Includes bibliographical references (p. 613-619) and index.
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