Remove 2010 Remove Metrics Remove Risk Remove Statistics
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Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors. If we could separate bad videos from good videos perfectly, we could simply calculate the metrics directly without sampling. The missing verdicts create two problems.

Metrics 98
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Unintentional data

The Unofficial Google Data Science Blog

1]" Statistics, as a discipline, was largely developed in a small data world. With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Data was expensive to gather, and therefore decisions to collect data were generally well-considered.

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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Part of it fueled by some Consultants.

Analytics 118
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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly on Data

Observability” risks becoming the new name for monitoring. Healthy growth in artificial intelligence has continued: machine learning is up 14%, while AI is up 64%; data science is up 16%, and statistics is up 47%. We don’t see that in our data, though there are certainly some metrics to say that artificial intelligence has stalled.