Introduction: Solving data science challenges with mathematics

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Kompetenzen, die Sie erwerben

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

Bewertungen

4.7 (10,335 Bewertungen)

  • 5 stars
    74,63 %
  • 4 stars
    19,97 %
  • 3 stars
    3,37 %
  • 2 stars
    1,11 %
  • 1 star
    0,89 %

HE

8. Aug. 2021

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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

PL

25. Aug. 2018

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Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

Aus der Unterrichtseinheit

Introduction to Linear Algebra and to Mathematics for Machine Learning

Unterrichtet von

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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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