Irene Aldridge: Noise Dynamics in Big Data Inference

Name: Irene Aldridge: Noise Dynamics in Big Data Inference
Uploaded: 2021-03-14
Duration: 1 min 2 s
Description: The first step in the traditional quantitative analysis is the purging, cleansing and scrubbing of the available, often limited, data observations. The result of such a purge is a limited dataset, often missing key observations. In this talk, we show how Big Data techniques bypass the data purification to produce inferences superior to the traditional approach.

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2021-03-142021-03-29

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Irene Aldridge: Noise Dynamics in Big Data Inference

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