Intelligence Lab
Experiments you can run in this page. Every number is computed here, on your device, from random draws or real data: nothing is a recording, and nothing leaves your browser.
Data Science & Analytics
- Lab: the sampling distribution of the mean Sampling variability
- Lab: what 95 % means Confidence intervals
- Lab: p-values under the null and beyond it What a p-value is
- Lab: how much does a sample correlation vary? Segments, anomalies, and exploration's limit
Applied Machine Learning
- Lab: gradient descent on a valley Derivatives and gradients
- Lab: overfitting and model size Least squares and ridge
- Lab: bias and variance Reading residuals
- Lab: a k-NN decision boundary Neighbours and margins
Deep Learning & Neural Networks
- Lab: learning rate on a valley Momentum and Adam