Linear Algebra With Machine Learning and Data (Record no. 34483)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| ISBN | 978-0367458393 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 518 |
| Author Mark | ARA-L |
| 100 ## - MAIN ENTRY--AUTHOR | |
| Author Name | Arangala, Crista |
| 245 ## - TITLE STATEMENT | |
| Title | Linear Algebra With Machine Learning and Data |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | NW, Boca Raton, |
| Name of publisher, distributor, etc. | Chapman and Hall/CRC |
| Date of publication, distribution, etc. | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | 289p. |
| 490 ## - SERIES STATEMENT | |
| Series Statement | Textbooks in Mathematics |
| 500 ## - GENERAL NOTE | |
| General note | This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application.<br/><br/>This text is meant to be used for a second course in applications of Linear Algebra to Data Analytics, with a supplemental chapter on Decision Trees and their applications in regression analysis. The text can be considered in two different but overlapping general data analytics categories: clustering and interpolation.<br/><br/>Knowledge of mathematical techniques related to data analytics and exposure to interpretation of results within a data analytics context are particularly valuable for students studying undergraduate mathematics. Each chapter of this text takes the reader through several relevant case studies using real-world data.<br/><br/>All data sets, as well as Python and R syntax, are provided to the reader through links to Github documentation. Following each chapter is a short exercise set in which students are encouraged to use technology to apply their expanding knowledge of linear algebra as it is applied to data analytics.<br/><br/>A basic knowledge of the concepts in a first Linear Algebra course is assumed; however, an overview of key concepts is presented in the Introduction and as needed throughout the text.<br/><br/> |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Include Index. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Inventory number | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mathematics | Air University Kharian Campus Library | Air University Kharian Campus Library | Mathematics | 02/17/2025 | Ali Book Service | 1590.00 | AU-KH 0356 | 518 ARA-L | AUKHP0402 | 03/03/2025 | Book |