Finding Change Points
David discusses the characteristics of change points and the challenges in identifying them. He explains how machine learning can detect changes even in noisy data and discusses the sensitivity of false positive rates. He also highlights the difficulties in determining actionable information from performance changes caused by factors beyond control, such as correlated noise and compiler issues.In this clip
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Data Skeptic
Change Point Detection in Continuous Integration Systems
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