Recent Posts

Notes on 'GIS and Public Health: Health Disparities'

The following are notes from Chapter 11 of 'GIS and Public Health' by Ellen Cromley and Sarah McLafferty, focusing on health disparities.

An Introduction to Gradient Descent

On a past project to learn about ML, I'd been struggling with implementing multiple variable gradient descent, and wrote up a conceptual explanation of the method to make sure I had my head wrapped around it well enough.

Introductory Review of (Some) Bayesian Statistics

As part of my work at MIT, I needed to have a very good understanding of Bayesian statistics, which I have not had much exposure to before. For that reason, I wrote up this document going over some introductory facets of Bayesian statistics.

Linear Regression with Gradient Descent: Application to NBA data

A while back I wanted to gain some experience with ML, so I started off with a very simple application of linear regression to NBA data, detailed here.

Notes on 'Equity, Evaluation, and International Cooperation'

Professor Carolini's book goes over several international collaboration projets in Mozambique and highlights what aspects are best for an efficient exchange of knowlegde between partnering nations and organizations. The following are simply my notes from reading the book.