MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02053cam a22002655a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
17212088 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20201128021456.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
120315t2012 maua frb 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780262018029 (hardcover : alk. paper) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Modifying agency |
EG-ScBUE |
| -- |
EG-ScBUE |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Item number |
MUR |
| Edition number |
22 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Murphy, Kevin P., |
| Dates associated with a name |
1970- |
| 9 (RLIN) |
38852 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine learning : |
| Remainder of title |
a probabilistic perspective / |
| Statement of responsibility, etc |
Kevin P. Murphy. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cambridge, Massachusetts : |
| Name of publisher, distributor, etc |
Massachusetts Institute of Technology (The MIT Press) , |
| Date of publication, distribution, etc |
c.2012. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxix, 1071 p. : |
| Other physical details |
ill. (some col.) ; |
| Dimensions |
24 cm. |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Adaptive computation and machine learning |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Index : p.1051-1071. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Bibliography : p. 1019- 1050. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online"--Back cover. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| Source of heading or term |
BUEsh |
| 9 (RLIN) |
2922 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Probabilities. |
| Source of heading or term |
BUEsh |
| 9 (RLIN) |
3494 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Source of heading or term |
BUEsh |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Resource For college |
Informatics and Computer Science |
| Arrived date list |
August2015 |
| -- |
December2015 |
| -- |
January2016 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Call number prefix |
006.31 MUR |