Machine learning

Increases its performance while doing it OR predicts or finds relationships in data.

Supervised learning

Addresses dataset with labels:

• Regression: Numerical/continuous values

• Classification: data goes into distinct categories

Definitions:

Feature/attributes: column

Label: a feature that is a type

Topics

Unsupervised learning

Addresses data without labels

• Clustering: Groups data

Reinforcement learning

• No dataset, learns policies via the environment, aka does doing this give me a reward.