MARC details
| 000 -LEADER |
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| fixed length control field |
02002cam a22003015a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
ssj0001558340 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20201128023735.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
150715t2015 gw a frb 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783319200095 |
| 040 ## - CATALOGING SOURCE |
|---|
| Modifying agency |
WaSeSS |
| -- |
EG-ScBUE |
| Language of cataloging |
eng |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.3 |
| Edition number |
22 |
| Item number |
KUB |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kubat, Miroslav, |
| 9 (RLIN) |
39937 |
| Dates associated with a name |
1958- |
| 245 13 - TITLE STATEMENT |
|---|
| Title |
An Introduction to Machine Learning / |
| Statement of responsibility, etc |
Miroslav Kubat. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cham : |
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
c.2015. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 291 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Index : p. 291. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Bibliography : p. 287-290. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
A Simple Machine-Learning Task -- Probabilities: Bayesian Classifiers -- Similarities: Nearest-Neighbor Classifiers -- Inter-Class Boundaries: Linear and Polynomial Classifiers -- Artificial Neural Networks -- Decision Trees -- Computational Learning Theory -- A Few Instructive Applications -- Induction of Voting Assemblies -- Some Practical Aspects to Know About -- Performance Evaluation.-Statistical Significance -- The Genetic Algorithm -- Reinforcement learning. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
|---|
| Terms governing access |
Available on campus and off campus with authorized login. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting, ” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. |
| 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 |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Resource For college |
Informatics and Computer Science |
| Arrived date list |
May2016 |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Printed edition: |
| International Standard Book Number |
9783319200095 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
2016-05-09 |