AER 850
Introduction to Machine Learning
Fundamentals of machine learning will be introduced, including supervised, unsupervised and reinforcement learning, regression and classification problems, and the common machine learning algorithms e.g., linear regression, logistic regression, support vector machines, decision trees, random forest, and deep neural networks. Students will learn how to apply different concepts on aerospace engineering problems, e.g., smart cabin management, control systems, parts inspection and/or fault detection systems.
AER 850 Requisite Information:
AER 850 Let's You Take:
Prerequisites: CPS 125, MTH 425, MTH 410
- This course is not a prerequisite for any other courses.
Prerequisites: CPS 125, MTH 425, MTH 410
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