Applied Machine Learning

Catalog description

This course covers practical knowledge and skills in supervised machine learning and data mining, emphasizing real-world business applications. Students will learn how to acquire, explore, and preprocess data, apply supervised and unsupervised learning techniques, and understand the importance of fairness and explainability in AI. Utilizing low-code/no-code tools, the course fosters hands-on experience through group projects, enabling students to make data-driven decisions and present actionable insights effectively with applications from accounting, finance, marketing, innovation, creative work and entrepreneurship.