Machine Learning for Business Applications

Catalog description

Three hours lecture per week Machine Learning for Business Applications is a fundamental course designed to equip students with the knowledge and skills needed to apply machine learning techniques to solve real-world business problems. This course focuses on essential topics such as linear regression,logistics regression, k-nearest neighbors, unsupervised learning (Principal Components and Clustering Methods), model and variable selection, and nonlinear prediction methods. Students will gain hands-on experience in implementing machine learning algorithms and interpreting their results within the context of business analytics.