Author: Ding Kunbo, graduate student of Peking University
Linear algebra is unmatched in the field of engineering, and MIT’s linear algebra course is one of the best learning materials in linear algebra. We share the illustrated notes for this course.
As a result of sorting and summarizing over the last few months, we have produced Illustrated MIT Linear Algebra Notes 1.0.pdf, which includes all the popular notes from the 35 courses.
Screenshot below:
Let’s look at the first lecture just to show you the quality of the notes,
In addition, each last section also gives the author’s own perception summary, such as the conclusion given in this section:
This part is the first introduction to the concept of linear algebra. Starting from solving equations and introducing the concept of column space, it can be found that the solution equation can be changed into a linear combination of column vectors from the perspective of column space, which is more scientific. Matrix multiplication is introduced, and this part is important to understand.
This note also attracted the attention of many students when it was serialized on Zhihu at the beginning: The first lesson got nearly 1000 likes:
In the middle, there was a period of time to stop, but also a lot of students urged more, this time I sorted out all the course notes for everyone, I hope it is helpful to you!
How to download: Follow machine Learning Algorithms and Computer Vision and reply to Linear Algebra to download 120 pages of Python Road 1.0.pdf
Regression linear algebra
Post-production planning: continuously correct subsequent errors and provide better and more accessible notes. \