Summary

Loading...
查看授課大綱

您將學習的技能

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

審閱

4.7(3,527 個評分)
  • 5 stars
    2,591 ratings
  • 4 stars
    757 ratings
  • 3 stars
    126 ratings
  • 2 stars
    33 ratings
  • 1 star
    20 ratings
PL

Aug 26, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

VC

Jul 11, 2018

The content of the course is very relevant, and the instructors are really fun and helpful.My only suggestion is to upload revisions for each assessment, so we can understand what we are doing wrong.

從本節課中
Introduction to Linear Algebra and to Mathematics for Machine Learning

教學方

  • David Dye

    David Dye

    Professor of Metallurgy
  • Samuel J. Cooper

    Samuel J. Cooper

    Lecturer
  • A. Freddie Page

    A. Freddie Page

    Strategic Teaching Fellow

探索我們的目錄

免費加入並獲得個性化推薦、更新和優惠。