Pattern Recognition and Machine Learning
Overview & Synopsis
This is the first textbook on Pattern Recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible.
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Document Information
| Document Title | Pattern Recognition and Machine Learning |
|---|---|
| Author / Organization | Christopher M. Bishop |
| Subject & Discipline | Bayesian Thinking, Machine Learning, Deep Learning and Neural Networks, Artificial Intelligence, Data Analysis and Data Mining |
| Categories | Bayesian Thinking |
| Publication Year | 2006 |
| ISBN | 0387310738 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 6723 KB (6,884,343 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-258984 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |