Blog.

I write about random machine learning topics, math, and my research.

Notes on Elements of Statistical Learning II

Dec 2022

Summarizes key concepts and algorithms from each chapter.

An Introduction to Variational Autoencoders (VAEs)

April 2023

An overview of dimensionality reduction techniques and VAEs

Principal Components Analysis (PCA) Explained

June 2023

Mathematical intuition behind PCA and its power in dimensionality reduction