A/B testing at Zalando: concepts and tools - Shan Huang, Grigory Bordyugov

[fsammarc]

0.06 - Introduction 3.37 - Spurious correlations 6.31 - A/B tests 9.52 - A/B testing infrastructure at Zalando 11.58 - A/B Testing infrastructure at Zalando: software engineering perspective 16.10 - ExpAn: open-source library for analyzing A/B test results 16.58 - Hypothesis testing as a noisy binary classifier 18.00 - Example: is coin fair? 26.02 - Multiple KPIs / Endpoints testing 26.43 - Early stopping (peeking into tests) 28.02 - Going from data to statistics, from statistics to decisions 31.58 - Q&A 32.18 - Q&A: Do you use Classical tests or Bayesian tests? 33.45 - Q&A: What kind of experiments do you run? 35.08 - Q&A: What is the most egregious mistakes you have seen?

[logankilpatrick]

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