MLVU 11.1: Markov models
Channel: MLVU
Date: 06/03/2021

In this lecture, we'll look at some ways to deal with data that comes in the form of one or more sequences. The first approach we look at is the Markov model: a simple and powerful way model sequences probabilistically, based on the relative frequencies of small subsequences in your data.

slides: https://mlvu.github.io/lectures/61.SequentialModels.annotated.pdf
lecturer: Peter Bloem