MIT xPRO's Machine Learning Applied to Engineering and Science is a 5-week online course offered by MIT xPRO in partnership with Global Alumni. It explores the application of machine learning methods to improve engineering problem-solving. The course aims to demonstrate how machine learning techniques can enhance data management and decision-making in engineering projects.
Throughout the course, participants will:
- Understand the reasons why machine learning methods are effective in solving engineering problems.
- Learn prediction methods used by researchers when data is limited or unavailable.
- Gain the ability to transfer machine learning techniques across different industries.
- Quantify risk and analyze salient aspects of complex systems using machine learning.
- Identify situations where applying a machine learning method may not be worthwhile.
This course is suitable for:
- Industry professionals with a degree in engineering (mechanical, civil, aerospace, chemical, materials, nuclear, biological, electrical, etc.) or physical sciences.
- Technical professionals with a solid foundation in mathematics, including differential calculus, linear algebra, and statistics typically covered in university studies.
No programming experience is required, but familiarity with MATLAB® can be helpful.
MIT xPRO's Machine Learning Applied to Engineering and Science costs $1,499.
You may find more information about the course on its About Page: Machine Learning Applied to Engineering and Science. For further questions, please contact Global Alumni Support directly at:
- Phone: +1 (857) 376 6818
- Email: globalalumni@xpro.mit.edu