Sutton’s Temporal-Difference Learning

A critical aspect of research is the reproduction of previously published results. Yet most will find reproduction of research challenging since important parameters needed to reproduce results are often not stated in the papers. I’ve noticed nn the past 5 years there has been a sort of catharsis regarding the lack of reproducibility [1][2][3]. This […]

Mahalanobis Distance and Outliers

I wrote a short article on  Absolute Deviation Around the Median a few months ago after having a conversation with Ryon regarding robust parameter estimators. I am excited to see a wet lab scientist take a big interest in ways to challenge the usual bench stats paradigm of t-tests, means, and z-scores. When researching KNN and SOFM, […]

Gradient Boosting: Analysis of LendingClub’s Data

I originally posted this article last year. I am reposting it as a primer for my upcoming article where I take a second look at LendingClub, but this time with the the Python data stack. An old 5.75% CD of mine recently matured and seeing that those interest rates are gone forever, I figured I’d […]