Chapter 4: Online Learning with River
In this and the coming three chapters, you will learn how to work with a library for online machine learning called River. Online machine learning is a part of machine learning in which models are designed in such a way that they can update their learned model on the reception of any new data point.
Online machine learning is the opposite of offline machine learning, which is the regular machine learning that you are probably already aware of. In general, in machine learning, a model will try to learn a mathematical rule that can perform a certain task. This task is learned on the basis of a number of data points. The mathematics behind these tasks is based on statistics and algorithmics.
In this chapter, you will discover how to work with online machine learning, and you will discover multiple types of online machine learning. You will go more in depth into the differences between online and offline machine learning. You will also see how...
