Understand the computational tools used in engineering problem-solving in course 2 of this 2-course program.
- Understand why and how machine learning methods may improve engineering problem-solving
- Learn how researchers make better predictions with missing or sparse data
- Transfer machine learning approaches developed in one industry to another industry
- Quantify risk and clarify salient features from data in complex systems
- Assess conditions when a machine learning approach may not be helpful or worth the extra effort