May 2024
Beginner to intermediate
151 pages
3h 22m
English
Content preview from Before Machine Learning Volume 1 - Linear Algebra for A.I
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Chapter 6The Final Stretch - Principal Component Analysis
The analytical technique that will end this journey toward understanding linear algebra is the principal component analysis (PCA). But don’t worry, as I bring good news! By now, you know everything that is needed to understand this methodology. In essence, the principal component analysis is a data projection into a new set of axes, or a change of basis that occurs via a linear transformation. Mappings are not a problem for us as we are now experts in manoeuvring vectors through space. So far, we know that when a linear transformation is involved, a matrix is needed, but we still need to understand the goal of this new method to define this linear transformation.
So I will put it out ...
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