| Call Number | 11893 |
|---|---|
| Day & Time Location |
T 12:10pm-2:00pm 503 Hamilton Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | William G Ritter |
| Type | SEMINAR |
| Method of Instruction | In-Person |
| Course Description | The application of Machine Learning (ML) algorithms in the Financial industry is now commonplace, but still nascent in its potential. This course provides an overview of ML applications for finance use cases including trading, investment management, and consumer banking. Students will learn how to work with financial data and how to apply ML algorithms using the data. In addition to providing an overview of the most commonly used ML models, we will detail the regression, KNN, NLP, and time series deep learning ML models using desktop and cloud technologies. The course is taught in Python using Numpy, Pandas, scikit-learn and other libraries. Basic programming knowledge in any language is required. |
| Web Site | Vergil |
| Department | Mathematics |
| Enrollment | 34 students (54 max) as of 12:05PM Sunday, December 8, 2024 |
| Subject | Mathematics |
| Number | GR5430 |
| Section | 001 |
| Division | Interfaculty |
| Note | Priority to MAFN Students. Open to Stats 9/9 and Univ. 9/11 |
| Section key | 20243MATH5430G001 |