May 2020
Intermediate to advanced
530 pages
17h 8m
English
Linear algebra is a big area. It is the section of algebra that studies objects of a linear nature: vector (or linear) spaces, linear representations, and systems of linear equations. The main tools used in linear algebra are determinants, matrices, conjugation, and tensor calculus.
To understand ML algorithms, we only need a small set of linear algebra concepts. However, to do researches on new ML algorithms, a practitioner should have a deep understanding of linear algebra and calculus.
The following list contains the most valuable linear algebra concepts for understanding ML algorithms:
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