Introduction to PageRank

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Destrezas que aprenderás

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

Revisiones

4.7 (4,400 calificaciones)
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  • 3 stars
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    38 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.

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.

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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