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Source: The Open Library
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1Information Theory, Inference & Learning Algorithms
By David J.C. MacKay
“Information Theory, Inference & Learning Algorithms” Metadata:
- Title: ➤ Information Theory, Inference & Learning Algorithms
- Author: David J.C. MacKay
- Languages: und - English
- Number of Pages: Median: 640
- Publisher: ➤ TBS - University of Cambridge ESOL Examinations - Cambridge University Press - CAMBRIDGE UNIV PRESS
- Publish Date: 2003 - 2004
- Publish Location: ➤ New York, USA - CAMBRIDGE - Cambridge, UK
“Information Theory, Inference & Learning Algorithms” Subjects and Themes:
- Subjects: ➤ Information theory - Inference - Machine Learning - Bayesian - Aprendizado computacional - Information, Théorie de l' - Inferenz - Statistische analyse - Toepassingen - Maschinelles Lernen - Informationstheorie - Teoria da informação - Informatietheorie - Algoritmen - Algorithms - Teoria da informacao - Information, Theorie de l' - Inferenz <künstliche intelligenz> - Inferenz (künstliche intelligenz) - Q360 .m23 2003 - 003/.54 - Dat 708f - Qh 210 - Sk 880 - St 130 - St 300
Edition Identifiers:
- Google Books ID: AKuMj4PN_EMC
- The Open Library ID: OL28949277M - OL22584006M - OL7749839M
- Online Computer Library Center (OCLC) ID: 55969249 - 52377690
- Library of Congress Control Number (LCCN): 2003055133
- All ISBNs: 0521644445 - 0521642981 - 9780521644440 - 9780521642989
First Setence:
"In this chapter we discuss how to measure the information content of the outcome of a random experiment."
Author's Alternative Names:
"David Jc MacKay", "David J. C. MacKay", "DAVID J. C. MACKAY" and "David JC MacKay"Access and General Info:
- First Year Published: 2003
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: Unclassified
Online Access
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