Introduction to PageRank

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Destrezas que aprenderás

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

Revisiones

4.7 (2,952 calificaciones)
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  • 4 stars
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  • 3 stars
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  • 2 stars
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  • 1 star
    17 ratings

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.

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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