MSF 6424: Introduction to Machine Learning for Finance

2 Credits

Machine learning methods are now widely used in finance. This class covers fundamental methods. Particular attention will be devoted to the use in asset pricing and credit assessment. A real project has several steps: 1) data collection, 2) data management, 3) exploratory data analysis, 4) learning and predicting, 5) communicating results. The lectures focus on techniques for step 4. The homework provides hands-on practice including the other steps.

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All Instructors

B+ Average (3.458)Most Common: A- (31%)

This total also includes data from semesters with unknown instructors.

98 students
SFDCBA
  • 2.86

    /5

    Recommend
  • 2.93

    /5

    Effort
  • 3.14

    /5

    Understanding
  • 2.90

    /5

    Interesting
  • 3.01

    /5

    Activities


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