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Experimenting to Win with Data

Sisense

When deploying analytics for your company or your customers, you can feel stuck between the twin poles of “What data is available?” The key to coming up with the best insights lies in delving deeply into both questions; the answers you discover can help you get even more out of your data. Determining data goals, making a plan.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

This post describes a generic framework for understanding the quality of human-labeled data, based around the concepts of reliability and validity. It then goes on to show how a new framework called cross-replication reliability (xRR) implements these concepts and how several different analytical techniques implement this framework.