MACHINE LEARNING FOR BUSINESS APPLICATIONS
MACHINE LEARNING FOR BUSINESS APPLICATIONS
2026 Spring Term
Economics 777
This applied course focuses on exploring big data analytic AI techniques relevant to economic and business contexts. Students gain hands-on experience with state-of-the-art analytics tools and methodologies to solve real-world problems, which involve building and evaluating machine learning models to address a number of business issues. The course emphasizes practical skills in programming for data analysis, model training, and validation, while also examining natural language processing for financial statement analysis, time-series forecasting, and spatial data analysis. By the end, students will learn the foundational knowledge and practical skills to implement machine learning models effectively for decision-making in economics and business.
Other Requirements: PREREQ: ADMISSION TO (COBE GRADUATE DEGREE OR CERTIFICATE PROGRAM)
Class Schedule
Disclaimer
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
| Section Details | Meeting Details & Topic | Instructor | Syllabus | ||
|---|---|---|---|---|---|
|
22-LEC 3391
3 Units
|
01/26 - 03/17 (8W1) |
Narendra Regmi
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| ONLINE | |||||
