MARC details
| 000 -LEADER |
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| fixed length control field |
02799nam a2200457 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
200467736 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
TR-AnTOB |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20260327143437.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
|---|
| fixed length control field |
m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220511s2021 si a o 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9811519676 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(CKB)4100000012007871 |
|
|---|
| System control number |
(MiAaPQ)EBC6708493 |
|
|---|
| System control number |
(Au-PeEL)EBL6708493 |
|
|---|
| System control number |
(PPN)257354670 |
|
|---|
| System control number |
(BIP)81340165 |
|
|---|
| System control number |
(BIP)72329251 |
|
|---|
| System control number |
(EXLCZ)994100000012007871 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MiAaPQ |
| Language of cataloging |
eng |
| Description conventions |
rda |
| -- |
pn |
| Transcribing agency |
MiAaPQ |
| Modifying agency |
MiAaPQ |
| 041 0# - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
İngilizce |
| 050 14 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.Z468 2021 |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
Q325.5 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
.Z468 2021EBK |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Zhou, Zhi-Hua |
| Titles and words associated with a name |
(Computer scientist), |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine learning / |
| Statement of responsibility, etc. |
Zhi-Hua Zhou. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Gateway East, Singapore : |
| Name of producer, publisher, distributor, manufacturer |
Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2021] |
|
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
℗♭2021 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (460 pages) |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning. Each chapter includes exercises and further reading, so that readers can explore areas of interest. The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors. It is also a useful reference resource for researchers and practitioners of machine learning. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Description based on print version record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 9 (RLIN) |
738 |
| 655 #7 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books |
| Source of term |
local |
| 9 (RLIN) |
2032 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| International Standard Book Number |
981-15-1966-8 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Springerlink |
| Uniform Resource Identifier |
<a href="https://link.springer.com/book/10.1007/978-981-15-1967-3">https://link.springer.com/book/10.1007/978-981-15-1967-3</a> |
| Public note |
Online access link to the resource |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
E-Book |
