The Machine Learning Applied to Engineering and Science course offered by MIT xPRO in partnership with Global Alumni is a 5-week online program that 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(R) can be beneficial.
Please find more information on the course website: Machine Learning Applied to Engineering and Science.
Please reach out directly to Global Alumni with any questions via this contact form.