Introduction to Machine Learning for EconomistsFundamentals of machine learning:Activation functions, neural networks, backpropagation, and loss functions.Pattern recognition as a case study.Application of machine learning concepts to macroeconomic p
Heterogeneous Agents Models with Machine LearningOverview of heterogeneous agent models in macroeconomics.Using neural networks to approximate distributions in the Krusell-Smith model.Practical implementation and coding exercises.
Reinforcement Learning and Non-Optimal EconomiesFundamentals of reinforcement learning (RL) and comparison with value function iteration.Solving non-optimal economies with RL:Addressing challenges like the absence of Markov properties in equilibria.D
