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Applied Machine Learning
CE 4331 (Same as EE 4331)
Erik Jonsson School of Engineering and Computer Science
Introduction to machine learning; supervised and unsupervised learning models; neural network and deep neural network learning models; work-flow; performance measures; implementation strategies for machine learning, social impacts and ethics of machine learning. 3 credit hours.
Prerequisites: (MATH 2414 or MATH 2417) and ENGR 2300 and ENGR 3341.
Offering Frequency: Each semester
Grades: 19
Median GPA: A
Mean GPA: 3.562
Click a checkbox to add something to compare.
Applied Machine Learning
CE 4331 (Same as EE 4331)
Erik Jonsson School of Engineering and Computer Science
Introduction to machine learning; supervised and unsupervised learning models; neural network and deep neural network learning models; work-flow; performance measures; implementation strategies for machine learning, social impacts and ethics of machine learning. 3 credit hours.
Prerequisites: (MATH 2414 or MATH 2417) and ENGR 2300 and ENGR 3341.
Offering Frequency: Each semester
Grades: 19
Median GPA: A
Mean GPA: 3.562
Click a checkbox to add something to compare.