Locality Sensitive Hashing

Locality Sensitive Hashing is a method for placing similar items together. This can be seen as a clustering effort, where similar items, when hashed, will produce a value that is close to each other, and therefore fall into the same bucket. When we talk about hashing, most of the time we want to form a […]

L1 and L2 Regularization

I’ve briefly written about ways to combat overfitting in the post here when I wrote about regularization. In that post, I talked a bit on L1 and L2 regularization, and the brief difference between them. In this post, I’m going to do a deep dive into the differences. This article is an excellent resource in […]