MACHINE LEARNING IN BUSINESS

Catalog description

The course introduces automated learning as a decision support tool based on the analysis of information systems data. In this course all phases of the machine learning process will be studied: data collection, aggregation for the application of association rule techniques, Bayesian methods, genetic algorithms, support vector machines, artificial neural networks, fuzzy techniques, statistical modeling, and others. As a phase, the interpretability and quality of the knowledge acquired is evaluated for the deployment and use of the knowledge.