Linear Algebra | 'or Linear Algebra and Its Applications "mind map

introduction

Linear Algebra Linear Algebra, science and engineering as a university foundation courses offered, and now has become a basic tool used to characterize the data in machine learning, and its importance is self-evident. My undergraduate who studied this course, the concept of which was a lot of not understanding clearly, especially the geometric sense of linear algebra. Later in the semester on a study I reviewed once again. This is after I finished reading the finishing Lay DC's "Linear Algebra and Its Applications" mind map, in addition to re-share relevant learning resources, hoping to help other learners.

Linear Equations

Chapter 1 linear equations in linear algebra

Matrix algebra

Determinant

Chapter 3 determinant

Vector space

Eigenvalue and eigenvector

Chapter 5 eigenvalue and eigenvector

And orthogonal least squares

Chapter 6 and orthogonal least squares

And symmetric matrix quadratic

Chapter 7 symmetric matrices and quadratic

Vector space geometry

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Origin www.cnblogs.com/vincent1997/p/12243140.html