MARC details
000 -LEADER |
fixed length control field |
01731cam a22003257a 4500 |
001 - CONTROL NUMBER |
control field |
17609682 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20141216150759.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
130131r20122014xxkadk fr2b f001 0 eng d |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2012289353 |
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.) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
UKMGB |
Language of cataloging |
eng |
Transcribing agency |
UKMGB |
Modifying agency |
BTCTA |
-- |
OCLCO |
-- |
BDX |
-- |
YDXCP |
-- |
CDX |
-- |
ZWZ |
-- |
EYM |
-- |
TEF |
-- |
JHE |
-- |
MUU |
-- |
DLC |
-- |
EG-ScBUE |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.31 |
Edition number |
22 |
Item number |
FLA |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Flach, Peter A. |
9 (RLIN) |
36945 |
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. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed., |
Remainder of edition statement |
reprinted. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Cambridge, United Kingdom : |
Name of publisher, distributor, etc |
Cambridge University Press, |
Date of publication, distribution, etc |
2012. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xvii, 396 p. : |
Other physical details |
charts, forms, tables ; |
Dimensions |
25 cm. |
500 ## - GENERAL NOTE |
General note |
Reprint of the 2012 ed. |
500 ## - GENERAL NOTE |
General note |
Index : p. 383-396. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Bibliography : p. 367-381. |
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 |
9 (RLIN) |
36946 |
653 ## - INDEX TERM--UNCONTROLLED |
Resource For college |
Engineering, Electrical |
-- |
Informatics and Computer Science |
Arrived date list |
December2014 |
655 ## - INDEX TERM--GENRE/FORM |
Form subdivision |
Reading book |
-- |
34232 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Call number prefix |
006.31 FLA |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
-- |
2014-12-16 |