Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models

© Sayan Putatunda 2021

S. PutatundaPractical Machine Learning for Streaming Data with Pythonhttps://doi.org/10.1007/978-1-4842-6867-4_3

3. Supervised Learning for Streaming Data

Sayan Putatunda¹  

(1)

Bangalore, India

 

In the last chapter, you learned some concept drift detection algorithms. This chapter focuses on supervised learning algorithms (for classification tasks and regression tasks) in a streaming data context. In supervised learning, there is a target or a response variable and there are predictor variables. The goal of the learner/model is to understand the relationship between the target and the predictor variables. This can then be used to make predictions on the target variable for future observations of the predictor variables [1]. ...