An introduction to machine learning / (Record no. 474)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02614cam a22003015i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 19791636 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | Urbe University |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220715140316.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170717s2017 nyu 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2017949183 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783319639123 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | DLC |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5 |
| Item number | .K83 2017 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kubat, Miroslav, |
| 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 | 2017 |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 1708 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 348 pages : |
| Other physical details | illustrations, charts ; |
| Dimensions | 25 cm |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1 A Simple Machine-Learning Task --<br/>2 Probabilities: Bayesian Classifiers --<br/>Similarities: Nearest-Neighbor Classifiers --<br/>4 Inter-Class Boundaries: Linear and Polynomial Classifiers --<br/>5 Artificial Neural Networks --<br/>6 Decision Trees --<br/>7 Computational Learning Theory --<br/>8 A Few Instructive Applications --<br/>9 Induction of Voting Assemblies --<br/>10 Some Practical Aspects to Know About --<br/>11 Performance Evaluation --<br/>12 Statistical Significance --<br/>13 Induction in Multi-Label Domains --<br/>14 Unsupervised Learning --<br/>15 Classifiers in the Form of Rulesets --<br/>16 The Genetic Algorithm --<br/>17 Reinforcement Learning. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant 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. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction as well as Inductive Logic Programming. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 0 |
| b | ibc |
| c | orignew |
| d | 2 |
| e | epcn |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Non-fiction | URBE Library | URBE Library | General Stacks | 07/15/2022 | DONATION | Q325.5 .K83 2017 | 0884 | 07/15/2022 | 07/15/2022 | Books |