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fa.bianp.net | ||
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blog.omega-prime.co.uk
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| | | | | The most fundamental technique in statistical learning is ordinary least squares (OLS) regression. If we have a vector of observations \(y\) and a matrix of features associated with each observation \(X\), then we assume the observations are a linear function of the features plus some (iid) random noise, \(\epsilon\): | |
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lucatrevisan.wordpress.com
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| | | | | (This is the sixth in a series of posts on online optimization techniques and their ``applications'' to complexity theory, combinatorics and pseudorandomness. The plan for this series of posts is to alternate one post explaining a result from the theory of online convex optimization and one post explaining an ``application.'' The first two posts were... | |
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www.ethanepperly.com
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nuculabs.wordpress.com
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| | | Hello ?? I'm a software developer by profession but I also enjoy photography, this is my first blog post related to photography, here are some photos I took with the Canon R6 and the EF 15-35mm F4L lens in Timisoara train station. I've taken the photos underexposed at 1/60, 6400 ISO and F4. It was... | ||
