Machine learning (Record no. 567634)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01530 a2200205 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250910171528.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250910b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789811681929 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | J951m |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Jung, Alexander |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning |
| Remainder of title | The basics |
| Statement of responsibility, etc | Alexander Jung |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Springer |
| Year of publication | 2022 |
| Place of publication | Singapore |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xvii, 212p |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Machine learning : foundations, methodologies, and applications |
| 490 ## - SERIES STATEMENT | |
| Series statement | / edited by Kay Chen Tan and Dacheng Tao |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles.<br/>This book approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting a model of a given data-generating phenomenon by minimizing some form of loss incurred by its predictions.<br/>The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods.<br/>The book’s three-component approach to ML provides uniform coverage of a wide range of concepts and techniques. As a case in point, techniques for regularization, privacy-preservation as well as explainability amount tospecific design choices for the model, data, and loss of a ML method. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| In Acquisition | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 10/09/2025 | 2 | 4590.59 | 006.31 J954m | A187030 | 6120.78 | Reference |