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Получаемые навыки

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

Рецензии

4.7 (оценок: 3,754)
  • 5 stars
    2,768 ratings
  • 4 stars
    798 ratings
  • 3 stars
    133 ratings
  • 2 stars
    33 ratings
  • 1 star
    22 ratings
PL

Aug 26, 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.

CS

Apr 01, 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.

Из урока
Eigenvalues and Eigenvectors: Application to Data Problems

Преподаватели

  • David Dye

    David Dye

    Professor of Metallurgy
  • Samuel J. Cooper

    Samuel J. Cooper

    Lecturer
  • A. Freddie Page

    A. Freddie Page

    Strategic Teaching Fellow

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