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yoursite.com | ||
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gouthamanbalaraman.com
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| | | | | Python examples demonstrating performance improvements using cython and numba | |
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hadrienj.github.io
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| | | | | In this post, we will see special kinds of matrix and vectors the diagonal and symmetric matrices, the unit vector and the concept of orthogonality. | |
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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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michaelscodingspot.com
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| | | Michael Shpilt's Blog on .NET software development, C#, performance, debugging, and programming productivity | ||
