Special eigen-cases

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배우게 될 기술

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

검토

4.7(8,611개의 평가)
  • 5 stars
    73.91%
  • 4 stars
    20.83%
  • 3 stars
    3.41%
  • 2 stars
    1.06%
  • 1 star
    0.76%
CS
2018년 3월 31일

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.

EC
2019년 9월 9일

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.

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

    Lecturer
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    A. Freddie Page

    Strategic Teaching Fellow

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