6.4 Machine Learning Mechanisms
Machine learning mechanisms describe how systems learn from data. Different mechanisms are used for different problems. Some methods use labeled data, while others do not (as shown in Figure 6.4).
(Figure 6.4: Labeled vs Unlabeled Data)
Certain methods are learned through feedback and experience. Each mechanism follows a different learning process. Choosing the correct mechanism is important. The quality of learning depends on the method used. These mechanisms support intelligent decision-making. Machine learning systems rely on proper mechanisms to work effectively. Some kinds of machine learning are discussed below: