

Coding the Matrix
Linear Algebra through Computer Science Applications
Book • 2013
Coding the Matrix provides a comprehensive introduction to linear algebra, focusing on its applications in computer science.
The book covers topics such as vectors, matrices, and algorithms, with practical examples in Python.
It explores applications in areas like computer vision, cryptography, and machine learning, making it accessible to students with programming experience.
The book covers topics such as vectors, matrices, and algorithms, with practical examples in Python.
It explores applications in areas like computer vision, cryptography, and machine learning, making it accessible to students with programming experience.
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as an introduction to linear algebra from a computational perspective.


Dan Shiebler

451: Translating PhD Research into ML Applications




