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Course Description

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.

Faculty Author

Kilian Weinberger

Benefits to the Learner

  • 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

Target Audience

  • Programmers
  • Developers
  • Data analysts
  • Statisticians
  • Data scientists
  • Software engineers
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Enroll Now - Select a section to enroll in
Type
self-paced (non-instructor led)
Dates
Mar 25, 2020 to Dec 31, 2025
Course Fee(s)
Standard Price $0.00
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