Introduction to machine learning / (Record no. 437776)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01548nam a2200229 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | ISI Library, Kolkata |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260506153234.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210101s2021 xxu b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781639873333 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | ISI Library |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 23 |
| Classification number | 006.31 |
| Item number | P361 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Pearson, Jacob |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to machine learning / |
| Statement of responsibility, etc | Jacob Pearson. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2021 edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | N.Y. : |
| Name of publisher, distributor, etc | Murphy & Moore, |
| Date of publication, distribution, etc | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xii, 350 pages : |
| Other physical details | illustrations ; |
| Dimensions | 24 cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Introduction to Machine Learning by Jacob Pearson offers a foundational overview of the core principles, techniques, and applications of machine learning within the broader field of Artificial Intelligence. The book introduces key concepts such as supervised and unsupervised learning, model evaluation, feature selection, and common algorithms including regression, classification, clustering, and neural networks. It balances theoretical understanding with practical implementation, often illustrating how data-driven models are built, trained, and optimized for real-world problems. Emphasis is placed on interpreting results, avoiding overfitting, and understanding the ethical implications of automated decision-making. Designed for beginners and early learners, it serves as a bridge between basic statistical reasoning and more advanced machine learning methodologies. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Lost status | Not for loan | Home library | Current library | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|
| ISI Library, Kolkata | ISI Library, Kolkata | 13/02/2026 | 10973.10 | 006.31 P361 | 138800 | Books |
