Читать книгу Green Internet of Things and Machine Learning - Группа авторов - Страница 19

When the machine learns from both labeled and unlabeled data, it is known as semi-supervised learning. When it is not feasible to label the data due to lack of resource to label it or due to the large size of the data, semi-supervised learning is used [7]. It lies among the supervised and unsupervised learning. For the model building, semi-supervised learning is best. Semi-supervised learning makes use of small amount of labeled data but large amount of unlabeled data [8].

Figure 1.3 Process of unsupervised learning.

Figure 1.4 Process of reinforcement learning.