Paperback
Uncover hidden data insights with linear algebra and SVD’s power.
Analysis and Linear Algebra
The Singular Value Decomposition and Applications
$134.14
- Paperback
217 pages
- Release Date
29 June 2021
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Summary
This book provides an elementary analytically inclined journey to a fundamental result of linear algebra: the Singular Value Decomposition (SVD). SVD is a workhorse in many applications of linear algebra to data science. Four important applications relevant to data science are considered throughout the book: determining the subspace that “best” approximates a given set (dimension reduction of a data set); finding the “best” lower rank approximation of a given matrix (compression and general a…
Book Details
| ISBN-13: | 9781470463328 |
|---|---|
| ISBN-10: | 1470463326 |
| Author: | James Bisgard |
| Publisher: | American Mathematical Society |
| Imprint: | American Mathematical Society |
| Format: | Paperback |
| Number of Pages: | 217 |
| Release Date: | 29 June 2021 |
| Weight: | 288g |
| Dimensions: | 216mm x 140mm |
| Series: | Student Mathematical Library |
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About The Author
James Bisgard
James Bisgard, Central Washington University, Ellensburg, WA
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