Information Theory Inference and Learning Algorithms
Overview & Synopsis
This book contains below topics, Introduction to information theory, Probability, entropy, and inference, Source coding, Noisy channel coding, Sparse graph codes, Bayesian inference and Monte Carlo methods, Neural networks, Decision theory.
Indexed from repository: FreeBookCentre
(
freebookcentre.net)
Document Information
| Document Title | Information Theory Inference and Learning Algorithms |
|---|---|
| Author / Organization | David J. C. MacKay, University of Cambridge |
| Categories | Information Theory |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
FreeBookCentre
(freebookcentre.net)
|
| File Format | application/pdf (Portable Document Format) |
| Page Count | 640 pages |
| Language | EN |
| Catalog ID | DOC-309204 |
| Original Source Link | Visit Source Page on freebookcentre.net » |