DWH and Dimensional Modeling https://mintea.blog/wp-content/uploads/2025/01/DWH_Dimentional-Modelling.pdf
Tag: modelling
Data fallacies Statistical fallacies are common tricks data can play on you, which lead to mistakes in data interpretation and analysis. Explore some common...
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Clever Methods of Overfitting “Overfitting” is traditionally defined as training some flexible representation so that it memorizes the data but fails to predict well...
Cobra Effect How to avoid unintended consequences when setting goals As a leader, setting and communicating goals for your team is crucial for building...
Survivorship Bias – Abraham Wald and the Missing Bullet Holes Jul 15, 2016·10 min read An excerpt from How Not To Be Wrong by Jordan Ellenberg...
Scientific method: Statistical errors P values, the ‘gold standard’ of statistical validity, are not as reliable as many scientists assume. Credit: DALE EDWIN MURRAY For...
How to avoid P Hacking and false positives in research studies There is a replicability crisis in science – unidentified “false positives” are pervading...
Cherry picking of data 25 July 2016 by Tejvan Pettinger Cherry picking of data means we look for particular data and statistics that help to illustrate...
