QTM 3601: Deep Learning in Business
4 advanced liberal arts credits
This course is dedicated to learning a type of artificial intelligence through building neural network models that mimic the human brain to solve complex business problems, which involves a variety of data types like text, image, sequential, etc. The course will build on analytical concepts learned from the AQM2000 (Predictive Business Analytics) course and introduce other unsupervised and self-supervised machine learning concepts in types of neural networks, natural language processes, and reinforcement learning. Each concept contains topics like model building and parameter tuning through optimization, regularization, etc. These advanced topics will be discussed in the context of practical real-world applications such as prediction, classification, image recognition, text analysis, gaming, etc. The implementation of the introduced topics will be carried out in Python programming language.
Prerequisites: AQM 2000