Types of ML algorithms

ML models/algorithms are often divided into three groups depending on the type of input:

• Supervised learning
• Unsupervised learning
• Reinforcement learning

This division is rather vague because some algorithms fall into two of these groups while others do not fall into any. There are also some middle states, such as semi-supervised learning.

Algorithms in these three groups can perform different tasks, and hence can be divided into subgroups according to the output of the model. Table 1.3 shows the most common ML tasks and their classification.