MLG 032 Cartesian Similarity Metrics
Machine Learning Guide

MLG 032 Cartesian Similarity Metrics

2020-11-08
Social media Gnothi and email me a screenshot/link for 3-month access to Machine Learning Applied; commit code to the Github repository for life-access. Normed distances link A norm is a function that assigns a strictly positive length to each vector in a vector space. link Minkowski is generalized. p_root(sum(xi-yi)^p). "p" = ? (1, 2, ..) for below. L1: Manhattan/city-block/taxicab. abs(x2-x1)+abs(y2-y1). Grid-like distance (triangle legs). Preferred for high-dim space. L2: Euclidea...
View more
Comments (3)

More Episodes

All Episodes>>

Get this podcast on your phone, Free

Create Your Podcast In Minutes

  • Full-featured podcast site
  • Unlimited storage and bandwidth
  • Comprehensive podcast stats
  • Distribute to Apple Podcasts, Spotify, and more
  • Make money with your podcast
Get Started
It is Free