/explore

Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.
You are here

 erikbern.com
Nearest neighbor methods and vector models - part 1 · Erik Bernhardsson
| | mccormickml.com
Product Quantizers for k-NN Tutorial Part 1 · Chris McCormick
3.0 parsecs away

Travel
| |
| | randorithms.com
RACE Sketches for Kernel Density Estimation - Randorithms
3.8 parsecs away

Travel
| | This is the companion blog post for our paper "Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data." The main contribution o...
| | blog.vespa.ai
Using approximate nearest neighbor search in real world applications | Vespa Blog
3.1 parsecs away

Travel
| | From text search and recommendation to ads and online dating, ANN search rarely works in isolation.
| | www.3blue1brown.com
3Blue1Brown - Gradient descent, how neural networks learn
22.7 parsecs away

Travel
| An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.