Ai+ Training

This tutorial explores machine learning applications in economics and finance using TensorFlow 2. It starts by examining how TensorFlow and machine learning can be used to solve empirical and theoretical models in economics. It then provides an introduction to deep learning and gradient boosting for structured economic and financial datasets. Next, it discusses how to augment structured datasets with text-based features through the use of natural language processing models. Finally, it examines how generative adversarial networks can be used in simulation and estimation exercises in economics and finance. The code from the tutorial will be provided in a Google Colab notebook.