Dimensionality Reduction From Scratch: PCA, ISOMAP, and Eigenfaces
You have thousands of features but only care about the patterns that matter. Here’s how to find them.
You have thousands of features but only care about the patterns that matter. Here’s how to find them.
How do you estimate the shape of data when you don’t know what distribution it came from?
You have 10,000 data points. How do you find natural groupings without any labels?
Given a data point, which class does it belong to? We build three different classifiers and see when each one shines.
You designed an experiment. Leadership signed off. The rollout took on a life of its own. Now what? Introduction All data in this post is simulated for d...
How do you measure how “urban” an area is without census data? Here’s one approach: look at where the hospitals are.
Most tutorials stop at accuracy. But what if a false negative costs you 10x more than a false positive?
An interactive map exploring hospital bed capacity across the United States.
An interactive exploration of Magnus Carlsen’s chess career through data visualization.
Do language models preserve the ordinal meaning of intensity words when those words must produce numeric actions?
Does the threat of being caught change the way people use AI to write? And if it does, can other people tell the difference?