Course Code: MENG 4040
Academic Year: 2024-2025
Students gain a foundational understanding of machine learning models and learn how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. Students study topics, such as regression, classification, mixture models, neural networks, deep learning, ensemble methods and reinforcement learning. Students examine approximate inference algorithms and graphical models. Students participate in practice exercises that give hands-on experience implementing machine learning algorithms studied.