Abstract
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.
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© 2021 Sayan Putatunda
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Putatunda, S. (2021). An Introduction to Streaming Data. In: Practical Machine Learning for Streaming Data with Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6867-4_1
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DOI: https://doi.org/10.1007/978-1-4842-6867-4_1
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-6866-7
Online ISBN: 978-1-4842-6867-4
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