Is Your Data Lying? Bayesian Data Credibility (sps26)

Datasets are often treated as ground truth, even though they rarely are. Labels can be noisy, measurements can be imprecise, user segments can be under-recorded, and dashboards can hide uncertainty behind clean-looking numbers. Teams then often build models, metrics, and decisions on top of data whose reliability we have never actually measured.... Weiterlesen: Is Your Data Lying? Bayesian Data Credibility (sps26)