Types of Machine Learning

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
• 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