Optimization and Machine Learning

This course builds upon DA 460 concepts, focusing on optimization as a decision-making tool and then more advanced prediction methods that form the basis of modern machine learning algorithms. These methods include using neural networks, genetic algorithms, and support vector machines to make automated decisions. Significant programming applications in Python or a similar language will be incorporated.