Speaker: Tim Kaye
Title: Fun with data streams in R
Abstract: Often in practice, not all of your data will have been generated or collected yet, so you need to be able to process that data and update your models on-the-fly.
This talk will provide a brief exploration of streaming algorithms and how they can be used in R.
The primary applications will be data mining for data streams and online inference using non-parametric Bayesian models.
