NBA 4920

NBA 4920

Course information provided by the Courses of Study 2021-2022.

This course introduces students to machine learning techniques used in business applications to draw managerial insights from data. The methods that would be covered include logistic regression, classification trees, clustering, and neural networks. Students will learn to apply these methods in a wide range of settings such as marketing, finance, healthcare and other business areas, and will gain hands-on experience through assignments and a group project. 

When Offered Fall.

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Syllabi: none
  •   Regular Academic Session.  Combined with: NBA 6921

  • 3 Credits GradeNoAud

  • 14327 NBA 4920   LEC 001

  • Instruction Mode: In Person
    *Open to Non-Johnson UG Srs/Jrs ONLY* Graduate students should enroll in NBA 6921. Non-Johnson Students ONLY: August 17th at 8:00am thru September 9th at 11:59pm. You may add or drop a full semester class after September 9th with permission of the faculty. A late fee of $100.00 will be charged for each add or drop transaction. If you are dropping after October 21st you will also receive a "W" on your transcript in addition to the late fees. There will be no enrollment from a wait list into a class if you have a time conflict or will put you over your maximum allowed credits.