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Introduction: From Batch to Online Machine Learning

  • Thomas Bartz-Beielstein

摘要

Batch Machine Learning (BML), which is also referred to as “offline machine learning”, reaches its limits when dealing with very large amounts of data. This is especially true for available memory, handling drift in data streams, and processing new, unknown data. Online Machine Learning (OML) is an alternative to BML that overcomes the limitations of BML. In this chapter, the basic terms and concepts of OML are introduced and the differences to BML are shown.