MLG 032 Cartesian Similarity Metrics
Machine Learning Guide
00:00
The Dot Product in Machine Learning
The dot product is one that results on a finite dimensional euclidian space. In your machine learning algritms, you're mostly going to be using euclidian distance when you want to compare the distance between two points in vactor space. The cosin similarity from one point to another is the angular distance between those two points. And indeed, it's pretty much the only distance metric that i'm using in nothe and hereis what's so special about cosins.
Transcript
Play full episode
