MTH 9889
Data Science III: Deep Learnin · 1.5 credits · Spring 2027
Requirements
Prerequisites: MTH 9898 and MTH 9899
About this course
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.
Seat status as of Oct 2, 10:36 AM ET. Seats can change between refreshes.
No sections have been posted for this course in this term yet.