Machine Learning Applications for Business Analytics

Catalog description

Introduction to techniques used for data exploration, data visualization and data mining, which support humans in identifying actionable information from large amounts of data. Demonstrates the process of machine learning and data mining for business applications, including data cleaning, transformation, partitioning, and validation. Methods covered include association rules, collaborative filtering and cluster analysis techniques. Methods will be implemented using relevant computing tools. In addition to unsupervised learning techniques, other machine learning concepts will also be introduced conceptually.