MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01678cam a22003017a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
17609682 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20160108155153.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
130131s2012 enka b 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2012289353 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBB254843 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
016098961 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781107422223 (pbk.) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)ocn795181906 |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.F53 2012 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 FLA/Mac |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Flach, Peter A. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine learning :the art and science of algorithms that make sense of data |
| Statement of responsibility, etc |
Peter Flach. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
Cambridge University Press, |
| Date of publication, distribution, etc |
2015 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvii, 396 p. : |
| Other physical details |
col. ill. ; |
| Dimensions |
24 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. The ingredients of machine learning -- 2. Binary classification and related tasks -- 3. Beyond binary classification -- 4. Concept learning -- 5. Tree models -- 6. Rule models -- 7. Linear models -- 8. Distance-based models -- 9. Probabilistic models -- 10. Features -- 11. Model ensembles -- 12. Machine learning experiments -- Epilogue: where to go from here. |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc |
'Machine Learning' brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, it explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| Form subdivision |
Textbooks. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Apprentissage automatique |
| General subdivision |
Manuels scolaires. |
| Source of heading or term |
ram |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
ncip |
| f |
20 |
| g |
y-gencatlg |
| 955 ## - COPY-LEVEL INFORMATION (RLIN) |
|---|
| Book number/undivided call number, CCAL (RLIN) |
xe10 2013-01-31 z-processor 2 copies to USPL |
| Copy status, CST (RLIN) |
xh14 2013-02-06 to BCCD |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| Koha normalized classification for sorting |
006_310000000000000_FLAMAC |
| Koha itemnumber |
155592 |
