luca
@fahrenheit
ML researcher, interested in math and probabilistic machine reasoning.
luca
The Fisher information matrix is simply the Hessian of KL divergence at the point where two distributions are equal.
Metacademy - Differential geometry for machine learning
The paranoid fantasy behind Brexit | Brexit | The Guardian
amp.theguardian.com
probably the right way to understand the right in the Uk..
Linear algebra usually has two sides to explore: the algebraic interpretation and the geometric intuition. Usually the latter is much more useful to get a feel for things.
The glow in the centre of the k-space image represents the lower spatial frequencies, which contains the bulk of the image contrast information. As we move away from this central glow, the finer details and edges, representing the higher spatial frequencies
Nadav Levi • Visualising MRI data in Python
However, there’s a third way to think about the first moment, and it’s the one that I think is most useful for understanding moments generally: the first moment tells us how far away from the origin the center of mass is. I like this interpretation because it is analogous to a moment arm in mechanics, which is the length of an arm between an axis... See more
Understanding Moments
This is so good.
"Don’t think. Thinking is the enemy of creativity. It’s self-conscious, and anything self-conscious is lousy. You can’t try to do things. You simply must do things."
- Ray Bradbury