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 (9,574 ratings)
  • 5 stars
    74.33%
  • 4 stars
    20.45%
  • 3 stars
    3.34%
  • 2 stars
    1.06%
  • 1 star
    0.80%
NS
Dec 22, 2018

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.

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

    Senior Lecturer
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    A. Freddie Page

    Strategic Teaching Fellow

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