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Oct 07, 2026
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2026-2027 University Catalog
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MIS 56300 - Machine Learning For Business Analytics
Credit Hours: 2.00. With the rise in big data, Machine Learning has experienced rapid growth over the last ten years with major advances in its subfields of Deep Learning, Reinforcement Learning, Natural Language Processing, Computer Vision, Robotics, and other subfields. The purpose of this course is to provide the students with a systematic introduction to the recent developments in machine learning through the coverage of modern machine learning concepts and practical business applications, as well as hands-on experience with modern machine learning frameworks. The course plans to cover neural nets, convolutional neural networks, recurrent networks, deep generative models, deep reinforcement learning, and the trustworthy AI framework with the properties of safety, robustness, privacy, and fairness.
Learning Outcomes
1. Understand the foundations of machine learning concepts and methods. 2. Receive a deep understanding of modern ML – deep learning, and different deep neural. 3. Network architectures and their state-of-the-art applications. 4. Understand the caveats of real-world data. 5. Receive hands-on practice to apply ML methods to solve business problems.
Credit Hours: 2.00
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