Data fallacies Statistical fallacies are common tricks data can play on you, which lead to mistakes in data interpretation and analysis. Explore some common...
Tag: data modelling
Understanding overfitting: an inaccurate meme in Machine Learning Preamble There is a lot of confusion among practitioners regarding the concept of overfitting. It seems like,...
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...
Misrepresenting Climate Science: Cherry-Picking Data to Hide the Disappearance of Arctic Ice As the climate science continues to strengthen, and as the observational data...
End to End Statistics for Data Science Beginner Statistics Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations...
