Personal notes

The motivation for writing these articles are two-fold. I suck at writing -> improve writing and want to have diary(all things ML and math) -> short snippets on things I find interesting/important. I read this article and found it as a nice guide to achieve my first goal -> try to write every article in that framework. I can’t guarantee the pedantic veracity of it but I shall strive to achieve it!

What the Bayes Is Going On?

Wiener Process
Dirichlet distribution
Gaussian Process
KL divergence
Markov Process

BUGGGGGGGS 🐛

Bugs in Danny's understanding

In the Pursuit of Graphiness

DeepWalk

Biggus Papyrus

Grokking
Unconditional Self-supervised learning

In Too Deep (Learning)

Mirror Descent
Different view points of regularization
SDE treatment of SGD

Prjkt

Deep Learning for Music