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_1

1. An Introduction to Streaming Data

Sayan Putatunda¹  

(1)

Bangalore, India

 

This chapter introduces you to streaming data, its various challenges, some of its real-world business applications, various windowing techniques, and the concepts of incremental and online learning algorithms. The chapter also introduces the scikit-multiflow framework in Python and some streaming data generators.

Please note that there are some other frameworks available in Python and for machine learning with streaming data. The scikit-multiflow framework is used in this book because I strongly believe that this package (given its wide range ...