MGMT 6565 - Advanced AI/ML for Finance
The primary objective of this course is to provide the first or second semester financial engineering or business analytics student with applied quantitative skills in the areas of artificial intelligence and machine learning for finance applications. The course material will involve hands-on use of real data and focus on various AI/ML algorithms common in the finance industry. The course will cover supervised learning and unsupervised algorithms and applications including natural language processing.
R will be the primary computing language used in this course. However, students will be permitted to use Python for course projects.
Prerequisite or Corequisite: Acceptance into the MS in BSAN, SPCM, or QFRA programs or PhD program or permission of the instructor.
When Offered: SPRING TERM ANNUALLY
Graded: GRADED
Credit Hours: 3
Contact, Lecture or Lab Hours: 3
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