MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02471nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250212145226.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250212b |||||||| |||| 00| 0 hin d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780367458393 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
NISER LIBRARY |
| Language of cataloging |
eng |
| Transcribing agency |
NISER LIBRARY |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
512.64:004.85 |
| Item number |
ARA-L |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Arangala, Crista |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Linear algebra with machine learning and data |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Boca Raton : |
| Name of publisher, distributor, etc. |
CRC Press, |
| Date of publication, distribution, etc. |
2023. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xix, 289 pages |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Textbooks in mathematics |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Algebras, Linear |
| Form subdivision |
Textbooks. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| General subdivision |
Mathematics |
| Form subdivision |
Textbooks. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining |
| General subdivision |
Mathematics |
| Form subdivision |
Textbooks. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Table of content |
| Uniform Resource Identifier |
<a href="https://www.routledge.com/Linear-Algebra-With-Machine-Learning-and-Data/Arangala/p/book/9780367458393?srsltid=AfmBOop1S7ot4zSOKtJb-BJvRCAnNTLBZLPeGCKp1QDJRwTQEVtGXVMu#googlePreviewContainer">https://www.routledge.com/Linear-Algebra-With-Machine-Learning-and-Data/Arangala/p/book/9780367458393?srsltid=AfmBOop1S7ot4zSOKtJb-BJvRCAnNTLBZLPeGCKp1QDJRwTQEVtGXVMu#googlePreviewContainer</a> |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Reviews |
| Uniform Resource Identifier |
<a href="https://www.goodreads.com/book/show/62872757-linear-algebra-with-machine-learning-and-data?ref=nav_sb_ss_1_13#CommunityReviews">https://www.goodreads.com/book/show/62872757-linear-algebra-with-machine-learning-and-data?ref=nav_sb_ss_1_13#CommunityReviews</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Universal Decimal Classification |
| Koha item type |
Book |
