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toaster.llc | ||
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blog.brixit.nl
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| | | | | So this is the (looks at notes) 9th! blog post about the progress in Megapixels development. In this episode: White-balance and SEGFAULTs! | |
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mht.wtf
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blog.georgeshakan.com
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| | | | | Principal Component Analysis (PCA) is a popular technique in machine learning for dimension reduction. It can be derived from Singular Value Decomposition (SVD) which we will discuss in this post. We will cover the math, an example in python, and finally some intuition. The Math SVD asserts that any $latex m \times d$ matrix $latex... | |
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www.paepper.com
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