Practical machine learning / (Record no. 15944)
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000 -LEADER | |
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fixed length control field | 01599nam a2200229Ia 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | NULRC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250520102818.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 250520s9999 xx 000 0 und d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781784399689 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | NULRC |
050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QA 76.9 .G65 2016 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Gollapudi, Sunila |
Relator term | author |
245 #0 - TITLE STATEMENT | |
Title | Practical machine learning / |
Statement of responsibility, etc. | Sunila Gollapudi |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Birmingham, UK : |
Name of publisher, distributor, etc. | Packt Publishing, Limited, |
Date of publication, distribution, etc. | c2016 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xvi, 433 pages : |
Other physical details | illustrations ; |
Dimensions | 24 cm. |
365 ## - TRADE PRICE | |
Price amount | USD94.53 |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes index. |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | Chapter 1. Introduction to machine learning -- Chapter 2. Machine learning and large-scale datasets -- Chapter 3. An introduction to Hadoop's architecture and ecosystem -- Chapter 4. Machine learning tools, libraries, and frameworks -- Chapter 5. Decision tree based learning -- Chapter 6. Instance and Kernel methods based learning -- Chapter 7. Association rules based learning -- Chapter 8. Clustering based learning -- Chapter 9. Bayesian learning -- Chapter 10 : Regression based learning -- Chapter 11. Deep learning -- Chapter 12. Reinforcement learning -- Chapter 13. Ensemble learning -- Chapter 14. New generation data architectures for machine learning. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This book explores an extensive range of machine learning techniques, uncovering hidden tips and tricks for several types of data using practical real-world examples. While machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | MACHINE LEARNING |
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 | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
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Library of Congress Classification | General Education | LRC - Graduate Studies | National University - Manila | General Circulation | 06/14/2017 | Purchased - Amazon | 378.14 | GC QA 76.9 .G65 2016 | NULIB000013703 | 05/20/2025 | c.1 | 05/20/2025 | Books |