Introduction: Solving data science challenges with mathematics

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Skills You'll Learn

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

Reviews

4.7 (10,814 ratings)

  • 5 stars
    74.65%
  • 4 stars
    19.90%
  • 3 stars
    3.35%
  • 2 stars
    1.13%
  • 1 star
    0.95%

HE

Aug 8, 2021

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

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.

From the lesson

Introduction to Linear Algebra and to Mathematics for Machine Learning

Taught By

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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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