Hands-On Deep Learning for IoT

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 (including feature extraction, selection, and so on) to get the appropriate data with features and labels so that they can be fed into the model. Then, they split ...