Wrap up of this linear algebra course

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Skills You'll Learn

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

Reviews

4.7 (8,611 ratings)
  • 5 stars
    73.91%
  • 4 stars
    20.83%
  • 3 stars
    3.41%
  • 2 stars
    1.06%
  • 1 star
    0.76%
CS
Mar 31, 2018

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
Sep 9, 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.

From the lesson
Eigenvalues and Eigenvectors: Application to Data Problems

Taught By

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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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