Building knowledge needed for acquiring advanced machine learning (ML) skills useful in business; preparation for collaborative work on business applications using ML techniques; ML concepts; overview of ML algorithms/models; management of a ML project from a business perspective; real-world use cases of ML in various business functions and industries, using predictive analytics to transform business processes and functions. Prerequisites: Artificial Intelligence in Business minor; junior or senior classification; BUSN 450 or concurrent enrollment Credits 3. 3 Lecture Hours.
Building knowledge needed for acquiring advanced machine learning (ML) skills useful in business; preparation for collaborative work on business applications using ML techniques; ML concepts; overview of ML algorithms/models; management of a ML project from a business perspective; real-world use cases of ML in various business functions and industries, using predictive analytics to transform business processes and functions. Prerequisites: Artificial Intelligence in Business minor; junior or senior classification; BUSN 450 or concurrent enrollment Credits 3. 3 Lecture Hours.
