Tutorial: Machine Learning for Data Streams in Python With Scikit-Multiflow
Jacob Montiel, Heitor Gomes, Jesse Read, Albert Bifet
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Members: FreeCIS
IEEE Members: Free
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19 Jul 2020
Data stream mining has gained a lot of attention in recent years as an exciting researc
h topic. However, there is still a gap between the pure research proposals and the practical applications to real world machine learning problems. In this tutorial we are going to introduce attendees to data stream mining procedures and examples of big data stream mining applications. Besides the theory we will also present examples using the \skmultiflow framework, a novel open source Python framework.
h topic. However, there is still a gap between the pure research proposals and the practical applications to real world machine learning problems. In this tutorial we are going to introduce attendees to data stream mining procedures and examples of big data stream mining applications. Besides the theory we will also present examples using the \skmultiflow framework, a novel open source Python framework.
