When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

A U.S. retailer was spending $50 million a year bidding across a million keywords on Google. This spend drove $500 million of sales (equivalent to a ROAS, or return on ad spend, of 10). They were very ...