Data Science III: Deep Learning

Catalog description

This course covers advanced methods for predicting stock returns such as deep neural networks, convolution neural networks, and recurrent neural networks. The students will learn about the architecture of neural networks and the training of neural networks. They will analyze bias and variance of the methods and implement different methods on time-series data. Students will gain a sense of how returns are predicted in practice.