Igor Susmelj • 2/17/2020

Humans Powering the Machines

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This article discusses the critical but often overlooked role of human annotation in machine learning. It explains the immense time and cost required to create labeled datasets, then introduces transfer learning as a method to reduce this burden. The piece also examines why machines cannot fully automate annotation and touches on the concept of active learning for improving efficiency in the AI training pipeline.

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#Machine Learning #computer vision #Deep Learning

Humans Powering the Machines

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