Although every ML problem is more or less an optimization problem, the way in which they are solved can vary. In fact, learning tasks can be categorized into three types: supervised learning, unsupervised learning, and reinforcement learning.
ML tasks
Supervised learning
Supervised learning is the simplest and most well-known automatic learning task. It is based on a number of predefined examples, in which the category to which each of the inputs should belong is already known, as shown in the following diagram:
The preceding diagram shows a typical workflow of supervised learning. An actor (for example, a data scientist or data engineer) performs the extraction, transformation, and load (ETL) and the necessary feature engineering...
