Introduction: Solving data science challenges with mathematics

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学習するスキル

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

レビュー

4.7 (10,983 件の評価)

  • 5 stars
    74.66%
  • 4 stars
    19.82%
  • 3 stars
    3.39%
  • 2 stars
    1.15%
  • 1 star
    0.95%

CS

2018年3月31日

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.

PL

2018年8月25日

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.

レッスンから

Introduction to Linear Algebra and to Mathematics for Machine Learning

講師

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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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