Model Types

From linear regression to neural networks

Here’s a list of the ML models/algorithms we’ll likely use in production for various products:

Naive Bayes classifier

This algorithm naively considers every feature in our dataset as its own independent variable. So, it’s essentially trying to find associations probabilistically without having any assumptions about the data. It’s one of the simpler algorithms out there, and its simplicity actually is what makes it so successful with classification. It’s commonly used for binary values, such as trying to decipher whether or not something is spam.

Support vector machine (SVM)