Linear Digressions

The Assumptions of Ordinary Least Squares

Linear Digressions

Ordinary least squares (OLS) is often used synonymously with linear regression. If you’re a data scientist, machine learner, or statistician, you bump into it daily. If you haven’t had the opportunity to build up your understanding from the foundations, though, listen up: there are a number of assumptions underlying OLS that you should know and love. They’re interesting, force you to think about data and statistics, and help you know when you’re out of “good” OLS territory and into places where you could run into trouble.

Next Episodes

Linear Digressions

Quantile Regression @ Linear Digressions

📆 2019-01-28 02:27 / 00:21:46


Linear Digressions

Heterogeneous Treatment Effects @ Linear Digressions

📆 2019-01-21 00:57 / 00:17:24



Linear Digressions

Facial Recognition, Society, and the Law @ Linear Digressions

📆 2019-01-07 03:03 / 00:42:46


Linear Digressions

Re-release: Word2Vec @ Linear Digressions

📆 2018-12-31 02:56 / 00:17:59