Читать книгу The Smart Cyber Ecosystem for Sustainable Development - Группа авторов - Страница 42

Intelligent machines learn from the data available in their environment. The process of applying ML consists of two phases: The training phase and the decision-making phase. In the training phase, ML techniques are used to learn the system model using training dataset. In the decision-making phase, the machine shall be able to estimate the output for each input data point using the trained model.

According to the training method, ML techniques can be classified into four general types. Many advanced ML techniques are based on those general types. Figure 2.2 illustrates these types.