Machine Learning II - ITD 240 at Northern Virginia Community College


         
 
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ITD 240 - Machine Learning II
Examines theory, algorithms, applications, and issues within the subfield of pattern recognition and machine learning, including feature engineering and extraction, supervised and unsupervised learning. Focuses on theory and practice, with coverage of underlying mathematical and heuristic concepts. Part II of II.
Lecture 3 hours. Total 3 hours per week.
Prerequisite: ITD 140 or division approval.
3 credits

Schedule at Northern Virginia Community College

Class # Section Credits Day Time Start Location Mode
27943 ITD 240-60YW 3
 M W   
11:10 a.m.-12:30 p.m.
2025-01-21 Woodbridge P
1st 7 Week
50% of class time meets in person, on campus; students are expected to attend class in person on the days and times listed on the schedule. 50% of class work is completed online, independently, via CANVAS. Reliable internet access and a computer are required.
Hybrid Course
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