Cosine & dot product

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Compétences que vous apprendrez

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

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4.7 (10,345 évaluations)

  • 5 stars
    74,65 %
  • 4 stars
    19,96 %
  • 3 stars
    3,37 %
  • 2 stars
    1,11 %
  • 1 star
    0,89 %

NS

22 déc. 2018

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Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

PL

25 août 2018

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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.

À partir de la leçon

Vectors are objects that move around space

Enseigné par

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    David Dye

    Professor of Metallurgy

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    Samuel J. Cooper

    Associate Professor

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    A. Freddie Page

    Strategic Teaching Fellow

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