Loss Functions for Ordinal regression

Category: misc
#machine learning #ordinal regression #loss function

Note: this post contains a fair amount of LaTeX, if you don't visualize the math correctly come to its original location

In machine learning it is common to formulate the classification task as a minimization problem over a given loss function. Given data input data $(x_1, ..., x_n)$ and associated labels …

Low rank approximation

Category: misc
#machine learning #python

A little experiment to see what low rank approximation looks like. These are the best rank-k approximations (in the Frobenius norm) to the a natural image for increasing values of k and an original image of rank 512.

Python code can be found here. GIF animation made using ImageMagic's convert …