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Dec 16, 2025
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MGMT 56700 - Deep 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 deep 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 and deep reinforcement learning.
Learning Outcomes
1. Identify the deep learning algorithms and design deep neural networks which are more appropriate for various types of learning tasks in various domains.
2. Perform regularization and hyperparameter selections of different deep learning models and evaluate their performance.
3. Implement deep learning algorithms in Python using the Keras library.
4. Apply the algorithms to a real-world problem and report the performance achieved by the models.
Credits: 2.00
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