Motivations for linear algebra

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강의 계획서 보기

배우게 될 기술

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

검토

4.7개(9,937개 평가)

  • 5 stars
    74.49%
  • 4 stars
    20.21%
  • 3 stars
    3.35%
  • 2 stars
    1.09%
  • 1 star
    0.83%

EC

2019년 9월 9일

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Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

CS

2018년 3월 31일

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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.

수업에서

Introduction to Linear Algebra and to Mathematics for Machine Learning

강사:

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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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