Introduction: Solving data science challenges with mathematics

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Destrezas que aprenderás

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

Revisiones

4.7 (7,503 calificaciones)
  • 5 stars
    73.83%
  • 4 stars
    21.11%
  • 3 stars
    3.34%
  • 2 stars
    1.05%
  • 1 star
    0.65%
CS

Apr 01, 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.

NS

Dec 23, 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.

De la lección
Introduction to Linear Algebra and to Mathematics for Machine Learning

Impartido por:

  • David Dye

    David Dye

    Professor of Metallurgy
  • Samuel J. Cooper

    Samuel J. Cooper

    Lecturer
  • A. Freddie Page

    A. Freddie Page

    Strategic Teaching Fellow

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