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francisbach.com
| | blog.georgeshakan.com

In this post, I talk about the mathematical foundations of PCA
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| | fa.bianp.net

The Langevin algorithm is a simple and powerful method to sample from a probability distribution. It's a key ingredient of some machine learning methods such as diffusion models and differentially private learning. In this post, I'll derive a simple convergence analysis of this method in the special case when the ...
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| | gregorygundersen.com


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| | www.johndcook.com

You can use quaternions to describe rotations and quaternion products to carry out these rotations. These products have the form qpq* where q represents a rotation, q* is its conjugate, and p is the the vector being rotated. (That's leaving out some details that we'll get to shortly.) The primary advantage of using quaternions to
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