Introduction to PageRank

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강의 계획서 보기

배우게 될 기술

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

검토

4.7개(10,207개 평가)

  • 5 stars
    74.60%
  • 4 stars
    20.03%
  • 3 stars
    3.36%
  • 2 stars
    1.11%
  • 1 star
    0.88%

CS

2018년 3월 31일

Filled StarFilled StarFilled StarFilled StarFilled Star

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

HE

2021년 8월 8일

Filled StarFilled StarFilled StarFilled StarFilled Star

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

수업에서

Eigenvalues and Eigenvectors: Application to Data Problems

강사:

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    David Dye

    Professor of Metallurgy

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    Samuel J. Cooper

    Associate Professor

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    A. Freddie Page

    Strategic Teaching Fellow

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