Applied Maching Learning

Catalog description

Examines advanced machine learning techniques and their application within organizational analytics contexts. Emphasis is placed on algorithm selection, model evaluation, ensemble methods, neural networks, and performance optimization. Topics include supervised and unsupervised learning, implementation using contemporary analytics platforms, and interpretation of model outputs to support data-informed strategic analysis.