Eigenbasis example

Loading...
Просмотреть программу курса

Получаемые навыки

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

Рецензии

4.7 (оценок: 4,400)
  • 5 stars
    3,271 ratings
  • 4 stars
    916 ratings
  • 3 stars
    152 ratings
  • 2 stars
    38 ratings
  • 1 star
    23 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.

NS

Dec 23, 2018

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.

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

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.