2008, Knowledge Discovery and Measurement

Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling

Modeling Experimentation Knowledge Discovery Testing

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

This renders measures like classification accuracy meaningless. The use of multiple measurements in taxonomic problems. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 57–78.

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

Data Leaders Brief

Experiment design and modeling for long-term studies in ads

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Webinars

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