Machine Learning for Mining Applications

Course Description

Recent advances in technology have enable mining companies with the ability to collect in near real-time large amounts of data. Machine learning represents a valuable set of tools to extract valuable information, synthetize predictive models, and overall contribute to a better understanding of many aspects of the mining operations. This class provides formal introduction to machine learning topics, with a specific emphasis in applications associated to the mining and minerals industry. First, a general overview of the machine learning methodology is provided, along with a description of the main architectures used in current applications. Emphasis is given to tasks such as data characterization, model selection and tunning, performance metrics, and validation strategies. The second part of the class is project-based and focused specifically on the development of a machine learning application for mining or geology problems.

Code

MNE 459

Credits

3

Subject

Mining Engr & Mineral Res, Sch

Programs That Include This Course

• Bachelor's Bachelor of Science in Electrical & Computer Engr in Electrical and Computer Engineering