MARC details
| 000 -LEADER |
| fixed length control field |
01376nam a2200289 a 4500 |
| 001 - CONTROL NUMBER |
| control field |
vtls000070630 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20251125095427.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
130605t2012 enka f 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781107096394 (hbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
1107096391 (hbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781107422223 (pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
1107422221 (pbk.) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
| Level of rules in bibliographic description |
201401101026 |
| Level of effort used to assign nonsubject heading access points |
saini |
| -- |
201306051114 |
| -- |
hairil |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
Q325.5 .F53 2012 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Flach, Peter A. |
| 245 10 - TITLE STATEMENT |
| Title |
Machine learning : |
| Remainder of title |
the art and science of algorithms that make sense of data / |
| Statement of responsibility, etc. |
Peter Flach |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
| Place of publication, distribution, etc. |
Cambridge : |
| Name of publisher, distributor, etc. |
Cambridge University Press, |
| Date of publication, distribution, etc. |
2012 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xvii, 396 p. : |
| Other physical details |
col. ill. ; |
| Dimensions |
25 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
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 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Machine learning |
| Form subdivision |
Textbooks |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Apprentissage automatique |
| General subdivision |
Manuels scolaires. |
| Source of heading or term |
ram |
| 942 00 - ADDED ENTRY ELEMENTS (KOHA) |
| Koha issues (borrowed), all copies |
3 |