Going from Gaussian elimination to finding the inverse matrix

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Destrezas que aprenderás

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

Reseñas

4.7 (8,404 calificaciones)
  • 5 stars
    73.83%
  • 4 stars
    20.94%
  • 3 stars
    3.40%
  • 2 stars
    1.07%
  • 1 star
    0.74%
CS
31 de mar. de 2018

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
25 de ago. de 2018

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.

De la lección
Matrices in Linear Algebra: Objects that operate on Vectors

Impartido por:

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    David Dye

    Professor of Metallurgy
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    Samuel J. Cooper

    Lecturer
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    A. Freddie Page

    Strategic Teaching Fellow

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