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5.0
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5.0
Difficulty
1,000
Ratings given
99%
Would take again
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Not teaching in Spring 2026 | |||||
BUAN 4382 Judd Bradbury | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
BUAN 4382 Judd Bradbury | |||||
Grades: 2,946
Median GPA: B+
Mean GPA: 3.290
2.5
Professor rating
3.8
Difficulty
96
Ratings given
30%
Would take again
Applied Artificial Intelligence/Machine Learning
BUAN 4382 (Same as ITSS 4382)
Naveen Jindal School of Management
This course provides a broad and detailed introduction to machine learning, data mining, and statistical pattern recognition. In this class, students will learn about the most effective machine learning techniques, and gain practice applying them to analyze business data. Regular course lectures will be used to deliver the main concepts and methods related to machine learning and AI. A number of in-class, hands-on exercises will be created to help students understand how to apply those techniques to solve some real-world business problems. 3 credit hours.
Prerequisite: ITSS 3312 or BUAN 4381 or ITSS 4381.
Offering Frequency: Each semester
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Grades: 2,946
Median GPA: B+
Mean GPA: 3.290
2.5
Professor rating
3.8
Difficulty
96
Ratings given
30%
Would take again
Applied Artificial Intelligence/Machine Learning
BUAN 4382 (Same as ITSS 4382)
Naveen Jindal School of Management
This course provides a broad and detailed introduction to machine learning, data mining, and statistical pattern recognition. In this class, students will learn about the most effective machine learning techniques, and gain practice applying them to analyze business data. Regular course lectures will be used to deliver the main concepts and methods related to machine learning and AI. A number of in-class, hands-on exercises will be created to help students understand how to apply those techniques to solve some real-world business problems. 3 credit hours.
Prerequisite: ITSS 3312 or BUAN 4381 or ITSS 4381.
Offering Frequency: Each semester
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.