INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS. - Info and Reading Options
By David J.C. MacKay
"INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS." was published by CAMBRIDGE UNIV PRESS in 2003 - CAMBRIDGE, it has 628 pages and the language of the book is und.
“INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.” Metadata:
- Title: ➤ INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
- Author: David J.C. MacKay
- Language: und
- Number of Pages: 628
- Publisher: CAMBRIDGE UNIV PRESS
- Publish Date: 2003
- Publish Location: CAMBRIDGE
“INFORMATION THEORY, INFERENCE, AND 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:
- The Open Library ID: OL22584006M - OL8325677W
- Online Computer Library Center (OCLC) ID: 52377690 - 55969249
- Library of Congress Control Number (LCCN): 2003055133
- ISBN-13: 9780521642989
- ISBN-10: 0521642981
- All ISBNs: 0521642981 - 9780521642989
AI-generated Review of “INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.”:
Snippets and Summary:
You cannot do inference without making assumptions.
"INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS." Description:
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