Introduction: Solving data science challenges with mathematics

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Получаемые навыки

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

Рецензии

4.7 (оценок: 3,517)
  • 5 stars
    2,585 ratings
  • 4 stars
    754 ratings
  • 3 stars
    126 ratings
  • 2 stars
    33 ratings
  • 1 star
    19 ratings
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.

TS

Jun 29, 2019

Good course with nice lecturer.\n\nSome topics should be explain more in detail and have some further reading / exercise for practicing.\n\nFor overall, this course is worth the time and money spend.

Из урока
Introduction to Linear Algebra and to Mathematics for Machine Learning

Преподаватели

  • 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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