학생용

Calculating eigenvectors

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배우게 될 기술

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

검토

4.7(9,576개의 평가)
  • 5 stars
    74.33%
  • 4 stars
    20.45%
  • 3 stars
    3.34%
  • 2 stars
    1.06%
  • 1 star
    0.80%
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.

NS
2018년 12월 22일

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.

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

    Senior Lecturer
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    A. Freddie Page

    Strategic Teaching Fellow

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