Machine learning models are frequently used to make predictions about a target variable, such as the sales price of a home. However, we can use a fitted model to do much more than to predict – by carefully inspecting a... [Read More]

In this post I introduce the Company Vector, a distributed representation of a company’s core business activities. Company vectors are learned from business descriptions found in public SEC 10-K filings using an unsupervised learning algorithm called the Paragraph Vector. The... [Read More]

Last week I decided to migrate this blog, Eight Portions, from GitHub Pages to GitLab Pages for hosting service. My experience to-date has been net positive: GitLab Pages offers more flexibility and control over your site than does GitHub Pages,... [Read More]

In this post I explore NYC yellow cab data neighborhood-by-neighborhood. I examine NYC taxi rides from a neighborhood-centric perspective through a set of superlatives that highlight the diverse nature of NYC neighborhoods, as defined by Zillow1. This post focuses on... [Read More]

This post examines the Dow Jones Industrial Average (“DJIA”) along one of its key criticisms: price-weighting. It quantifies the extent to which price-weighting distorts the DJIA by creating a distortion index that measures aggregate over/under influence across all index components... [Read More]