Human in the Loop Data Analytics with Aditya Parameswaran

The life cycle of data management includes data cleaning, extraction, integration, analysis and exploration, and machine learning models. It would be great if all of this data management could be handled with automation, but unfortunately that is not an option. For most applications, data management requires a human in the loop.

A human in the loop might be responsible for working in a spreadsheet, or labeling data as a mechanical turk, or creating an algorithm for data labeling in Snorkel. Data scientists and data analysts are humans in the loop, studying large data sets.

Aditya Parameswaran is an assistant professor at UC Berkeley. He studies human-in-the-loop data analytics, and he joins the show to talk about the work and the projects that he is focused on, including DataSpread, an alternative to Excel, and OrpheusDB, a relational database versioning system.

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Transcript

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