Here are some of our most popular blog articles and ongoing series broken down by area of interest:
Data Science and Machine Learning:
Setting Expectations in Data Science Projects
Random Test/Train Split is not always Enough
Bad Bayes: An Example of Why You Need Hold-Out Testing
Why Does Designing a Simple A/B Test Seem so Complicated?
A Dynamic Programming Solution to A/B Test Design
The Geometry of Classifiers
Does Balancing Classifiers Improve Classifier Performance?
Correlation and R-Squared
The Simpler Derivation of Logistic Regression
Bayesian and Frequentist Approaches: Ask the Right Question
Revisiting Cleveland’s The Elements of Graphing Data in
Wanted: A Perfect Scatterplot (with marginals)
How to Test XCOM “Dice Rolls” for Fairness