Article Classification and News Headlines Over Time

download-25

 

How does front page news track a single topic over a period of time? What’s the media’s attention span for a given story?

In general, many find it surprising how quickly major media outlets shift their attention from one story to another. This is partly a reflection of our own attention spans and appetites, and is partly due to the fact that media organizations are incentivized to be the first to break news; as a result readers are more likely to be bombarded with what’s novel instead of what’s important. Continue reading “Article Classification and News Headlines Over Time”

Introduction to Regularization

What is regularization? Regularization, as it is commonly used in machine learning, is an attempt to correct for model overfitting by introducing additional information to the cost function. In this post we will review the logic and implementation of regression and discuss a few of the most widespread forms: ridge, lasso, and elastic net. For simplicity, we’ll discuss regularization within the context of least squares linear regression, and I assume that you have some familiarity with linear regression. Onward! Continue reading “Introduction to Regularization”