Читать книгу Machine Learning Approach for Cloud Data Analytics in IoT - Группа авторов - Страница 70

It is one of those learning methods, which makes over the models which are being trained using marked data. The goal of this learning technique is to train the model in such a way that we can predict the output when it is being applied upon with given new data over it. Here, both input and desired output data pave path for future events predictions [23]. For accurate predictions, the fed data is labeled or tagged as the perfect presumption. The schematic representation of output prediction or classification represented in Figure 2.4.

Figure 2.4 Supervised learning.