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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

Modeling

Modeling Experimentation Knowledge Discovery Testing

Density-Based Clustering

Domino Data Lab

DECEMBER 2, 2020

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. Unlike k-means, DBSCAN does not require the number of clusters as a parameter.

Metrics

Metrics KDD Testing Machine Learning

Data Leaders Brief

Experiment design and modeling for long-term studies in ads

Density-Based Clustering

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