Tps:

(3 Credits)

This course introduces students to machine learning / artificial intelligence and its potential applications in economics. It covers topics such as classification, cross validation/model selection, tree-based methods, support vector machines, neural networks, unsupervised learning, reinforcement learning and an introduction to deep learning.