Introduction to PageRank

Loading...
Просмотреть программу курса

Получаемые навыки

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

Рецензии

4.7 (оценок: 4,329)
  • 5 stars
    3,217 ratings
  • 4 stars
    902 ratings
  • 3 stars
    151 ratings
  • 2 stars
    36 ratings
  • 1 star
    23 ratings
EC

Sep 10, 2019

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

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.

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.