graph TD; A[ML Type] -->B(Supervised Learning) B --> C[Classification] B --> D[Regression] A --> E(Lazy Learning) A --> F(Unsupervised Learning)
Supervised Learning
Is a type of learning that works with labelled data such that there is a direct mapping of input data with a “correct” output data. It can be further reduced to Regression and Classification.
- Regression
- Classification
Unsupervised learning
Is a type of learning that works with unlabeled data. The learning algorithm looks for structure and tries to make generalizations.
- clustering
- pattern recognition
- prototypes for dimension reduction
- PCA dimension reduction