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Course Offerings

Course Evaluation Results

Course Details

Fall 2017-2018
* ELE 364   No Pass/D/Fail

Machine Learning for Predictive Data Analytics

Niraj K. Jha

Machine learning for predictive data analytics; data to insight to decisions; data exploration; information-based learning; similarity-based learning; probability-based learning; error-based learning; evaluation; case studies.

Sample reading list:
John D. Kelleher, Brian MacNamee, and Aoife D'Arcy, Fund. of Machine Learning for Predictive Data Analytics

Reading/Writing assignments:
Weekly homework; course project

Requirements/Grading:
Mid Term Exam - 20%
Final Exam - 30%
Term Paper(s) - 25%
Class/Precept Participation - 5%
Problem set(s) - 20%

Other Requirements:
Statistical, design or other software use required

Prerequisites and Restrictions:
Background in calculus, probability and statistics.

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
22508 L01 3:00 pm - 4:20 pm T Th   Robertson Hall   001   Enrolled:24 Limit:60