ABSTRACT
The main function of machine learning is to design and develop algorithms that allow systems using empirical data, experience, and training to evolve and adapt to changes in their environment, that is, to changes in the state of the monitored assets. An important part in the investigation of machine learning is to automatically induce models, such as rules and patterns from the training data being analyzed. Figure 4.1 shows a combination of machine-learning techniques and approaches from different areas, including probability and statistics, psychology, information theory, and artificial intelligence.
