ANLY 535 - Machine Learning II

(3 semester hours)
Prerequisites: ANLY 530
Description: Machine Learning II considers complex, high-level topics in machine learning. It builds on the foundation provided by Machine Learning I to develop algorithms for supervised and unsupervised machine learning, to study and develop artificial neural networks, to study, develop and evaluate systems for pattern recognition and to consider trade-offs in models, for example, balancing complexity (e.g. volume, variety and velocity of big data) and performance.