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Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
BUAN 4382 (Overall) | |||||
BUAN 4382 Prajakti Akarte | |||||
BUAN 4382 Judd Bradbury | |||||
BUAN 4382 Brandon Mitchell | |||||
BUAN 4382 Lidong Wu | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
BUAN 4382 (Overall) | |||||
BUAN 4382 Prajakti Akarte | |||||
BUAN 4382 Judd Bradbury | |||||
BUAN 4382 Brandon Mitchell | |||||
BUAN 4382 Lidong Wu | |||||
Applied Artificial Intelligence/Machine Learning
Naveen Jindal School of Management
Broad exploration of machine learning, data mining, and pattern recognition in business contexts. Coverage of supervised and unsupervised learning methods, text analytics, and applications of AI techniques for business decision-making. Attention to data preparation, model selection, and evaluation. Emphasis on business framing, strategy, and return on investment, along with ethical and regulatory considerations in AI. Content delivered through lectures, discussions, labs, and case studies, focusing on practical methods and conceptual understanding across real-world applications. 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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Applied Artificial Intelligence/Machine Learning
Naveen Jindal School of Management
Broad exploration of machine learning, data mining, and pattern recognition in business contexts. Coverage of supervised and unsupervised learning methods, text analytics, and applications of AI techniques for business decision-making. Attention to data preparation, model selection, and evaluation. Emphasis on business framing, strategy, and return on investment, along with ethical and regulatory considerations in AI. Content delivered through lectures, discussions, labs, and case studies, focusing on practical methods and conceptual understanding across real-world applications. 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.