Basics of Linear Algebra for Machine Learning
Overview & Synopsis
The tight integration of linear algebra methods with examples from machine learning differentiates this book from generic volumes on linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these concepts.
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freecomputerbooks.com)
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Document Information
| Document Title | Basics of Linear Algebra for Machine Learning |
|---|---|
| Author / Organization | Jason Brownlee |
| Subject & Discipline | Linear Algebra, Matrix Algebra, and Linear Systems, Machine Learning, Computer and Machine Vision, Robotics and Robot Programming |
| Categories | Linear Algebra, Matrix Algebra, and Linear Systems |
| Resource Verification | Verification pending |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-113005 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |