Going from Gaussian elimination to finding the inverse matrix

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배우게 될 기술

Eigenvalues And Eigenvectors, Basis (Linear Algebra), Transformation Matrix, Linear Algebra

검토

4.7(8,854개의 평가)
  • 5 stars
    74.03%
  • 4 stars
    20.71%
  • 3 stars
    3.37%
  • 2 stars
    1.08%
  • 1 star
    0.79%
CS
2018년 3월 31일

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

PL
2018년 8월 25일

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

수업에서
Matrices in Linear Algebra: Objects that operate on Vectors

강사:

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    David Dye

    Professor of Metallurgy
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    Samuel J. Cooper

    Senior Lecturer
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    A. Freddie Page

    Strategic Teaching Fellow

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