Types of Learning
- Supervised: we have a label for the data which tells us the correct solution. E.g.: classificiation (categories), regression (numeric value).
- Unsupervised: without labels, learn by itself, find structure in the data, tries to group the data and find correlations.
- Reinforcement learning: learn by trial and error, not by example, it is free to experiment.
Data
- Categorical: the prediction you want to get. Mutually excusive. E.g.: cat, dog, …; male, female.
- Ordinal: categories that have an order: poor, satisfactory, good, excellent,
- Numeric