NBA 6920

Last Updated

  • Schedule of Classes - June 25, 2020 7:14PM EDT
  • Course Catalog - June 25, 2020 7:15PM EDT

NBA 6920
Machine Learning Applications in Business

Course information provided by the Courses of Study 2019-2020.

Learn the diverse data mining techniques used in business applications to recognize patterns and make intelligent use of large amount of data. This includes logistic regression, classification trees, clustering and more.   Get a sense of the range of applications of data mining techniques in business, healthcare, and elsewhere, gain hands-on experience through realistic samples and a project using real data.

When Offered Spring.

View Enrollment Information

Syllabi: none

  •   Seven Week - Second.  Combined with: NBA 6920

  • 1.5 Credits Opt NoAud

  • 14726 NBA 6920   LEC 001

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  • Instruction Mode: Hybrid - Online & In Person
    *Open to GM and GR Students Only* Add/Drop Dates: Johnson Students January 14th at 8:00am thru February 4th at 4:00pm with an additional Add/Drop period beginning March 11th at 8:00am to March 18th at 4:00pm. You may add or drop a second-half class after March 18th 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 April 8th you will also receive a "W" on your transcript in addition to the late fees. Non-Johnson students may add themselves to the waitlists during the enrollment periods, however Johnson Students have priority into the classes and non-Johnsons will be enrolled: 1) IF seats are still available after Johnson students complete their enrollment period and 2) IF the instructor allows. Non-Johnson students must see their college registrar regarding policies connected with adding/dropping a second half Johnson School class. A petition may be required.

Syllabi: none

  •   Seven Week - Second.  Combined with: NBA 6920

  • 1.5 Credits Opt NoAud

  • 19156 NBA 6920   LEC 030

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    • TR Cornell Tech
    • Mar 11 - May 5, 2020

    • Mankad, S

  • Instruction Mode: Distance Learning-Synchronous
    Taught in NYC. This section streamed from Ithaca to New York Tech Campus.