Introduction to machine learning / (Record no. 21794)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01776nam a2200229Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NULRC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250520103029.0 |
| 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 | 9781579550486 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | NULRC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q 325.5 .B47 2021 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bernard, Etienne |
| Relator term | author |
| 245 #0 - TITLE STATEMENT | |
| Title | Introduction to machine learning / |
| Statement of responsibility, etc. | Etienne Bernard |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Champaign, Illinois : |
| Name of publisher, distributor, etc. | Wolfram Media, |
| Date of publication, distribution, etc. | c2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvi, 406 pages : |
| Other physical details | color illustrations ; |
| Dimensions | 26 cm |
| 365 ## - TRADE PRICE | |
| Price amount | USD33 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes index. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Short introduction to the Wolfram language -- What is machine learning? -- Machine learning paradigms -- Classification -- Regression -- How it works -- Clustering -- Dimensionality reduction -- Distribution learning -- Data preprocessing -- Classic supervised learning methods -- Deep learning methods -- Bayesian inference. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Machine learning - a computer's ability to learn - is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well. "Introduction to Machine Learning" weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Machine Learning | LRC - Main | National University - Manila | General Circulation | 05/07/2024 | Purchased - Amazon | 33.00 | GC Q 325.5 .B47 2021 | NULIB000019553 | 05/20/2025 | c.1 | 05/20/2025 | Books |