Statistics & Maths for Data Science and AI

Learn when to use each measure of central tendency.

Understand data spread, consistency and variability.

Understand likelihood, uncertainty and prediction probability.

Discover relationships between variables and prediction basics.

Understand why models must be tested on unseen data.

Learn why models fail and how generalisation works.

Choose the right metric for classification problems.

See where a classification model is right and wrong.