At the end of the article, you will know how to structure a trading problem in a probabilistic way. Also, you will learn how to improve… (more…)

This article is a high-level introduction to an efficient worfklow for optimizing runtime performance of machine learning systems running on the GPU. Using traces from Nsight Systems to show real production scenarios, I introduce a set of common utilizati... (more…)

Bayes’ Theorem is about more than just conditional probability, and Naive Bayes is a flavor of the theorem which adds to its complexity and usefulness. (more…)

MIT IAP short course: Matrix Calculus for Machine Learning and Beyond - mitmath/matrixcalc... (more…)

A guide to the widely used Optimizer functions, and a breakdown of their benefits and limitations... (more…)