Matrix and Linear Algebra: High DimensionCornell Course
Course Overview
This Machine Learning certificate program requires you to think and solve problems in multiple dimensions. In this course, you will learn to solve linear algebra problems in three or more dimensions and perform computations with matrices.You will perform computations that focus on solving problems in high dimension; that is, multiple dimensions. This course will provide you with the theory and activities to solidify the linear algebra foundation needed to be successful in your Machine Learning courses.
This optional self-paced course supports the required linear algebra in the Machine Learning certificate. If you are already comfortable with the computations from the pretest, we recommend that you take the final assessment to confirm your readiness.
Key Course Takeaways
- Test whether n dimensional vectors are orthogonal
- Define n dimensional planes in space
- Compute the distance to a plane in high dimension
- Perform basic computations with matrices
Download a Brochure
Not ready to enroll but want to learn more? Download the course brochure to review program details.How It Works
Who Should Enroll
- Programmers
- Developers
- Data analysts
- Statisticians
- Data scientists
- Software engineers
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