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Density-Based Clustering

Domino Data Lab

In this blog post, I will cover a family of techniques known as density-based clustering. Due to its importance in both theory and applications, this algorithm is one of three algorithms awarded the Test of Time Award at the KDD conference in 2014. By changing the distance metric used, we can change the shape of neighborhoods.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1].