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jasonmaa.com | ||
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www.paepper.com
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| | | | | As a data scientist, you are dealing a lot with linear algebra and in particular the multiplication of matrices. Important properties of a matrix are its eigenvalues and corresponding eigenvectors. So let's explore those a bit to get a better intuition of what they tell you about the transformation. We will just need numpy and a plotting library and create a set of points that make up a rectangle (5 points, so they are visually connected in the plot): | |
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www.sirver.net
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www.sirver.net
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| | | | | [AI summary] The article explains the geometric interpretation of the least squares problem using linear algebra concepts like projection and column spaces. | |
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bartoszmilewski.com
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| | | From the outside it might seem like physics and mathematics are a match made in heaven. In practice, it feels more like physicists are given a very short blanket made of math, and when they stretch it to cover their heads, their feet are freezing, and vice versa. Physicists turn reality into numbers. They process... | ||
