Wrap up of this linear algebra course

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Destrezas que aprenderás

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

Revisiones

4.7 (2,976 calificaciones)
  • 5 stars
    2,170 ratings
  • 4 stars
    644 ratings
  • 3 stars
    114 ratings
  • 2 stars
    31 ratings
  • 1 star
    17 ratings
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.

VC

Jul 11, 2018

The content of the course is very relevant, and the instructors are really fun and helpful.My only suggestion is to upload revisions for each assessment, so we can understand what we are doing wrong.

De la lección
Eigenvalues and Eigenvectors: Application to Data Problems

Impartido por:

  • 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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