Mathematics for Machine Learning: Linear Algebra(으)로 돌아가기

# 임페리얼 칼리지 런던의 Mathematics for Machine Learning: Linear Algebra 학습자 리뷰 및 피드백

4.7
stars
4,588개의 평가
829개의 리뷰

## 강좌 소개

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning....

## 최상위 리뷰

##### 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.

##### 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.

필터링 기준:

## Mathematics for Machine Learning: Linear Algebra의 825개 리뷰 중 751~775

교육 기관: Ng Y Y

Jun 21, 2019

Good overview and introduction to key concepts of linear algebra

교육 기관: Gautam K

Mar 07, 2019

Highly recommended course for beginners in Machine Learning.

교육 기관: Mark R

Jan 03, 2019

Good grounding in the fundamental mathematics needed for ML

교육 기관: wanglanri

Jun 25, 2018

The core idea of eigenvalue and eigenvector is very good.

교육 기관: Long Q

Oct 10, 2018

not bad, I feel the information is not enough for ML

Feb 12, 2019

reasonably well constructed and presented material

교육 기관: PK ( R

Mar 21, 2019

Great way to build foundation in Linear Algebra

교육 기관: Ratnakar

Jun 01, 2018

Very engaging course and right on spot!!!

교육 기관: Andres O

May 25, 2018

Very good linear algebra intro/refresher

교육 기관: danthedoubleD

Feb 23, 2019

good stuff hopefully, i will be useful

교육 기관: Earneet

Jul 08, 2019

i don't know , just finish it so soon

Jul 22, 2018

Really it was a very nice course .

교육 기관: SIMONOT M

Mar 29, 2019

Clear and interesting. Thank you.

교육 기관: Idriss M

Sep 23, 2019

great intro to linear algebra

교육 기관: Yijie X

Aug 14, 2018

greate course for beginners!

교육 기관: rasheeq i

Apr 19, 2019

Should go more in details.

교육 기관: 田德宇

Jun 23, 2019

no lectures, only videos

교육 기관: AB

Mar 03, 2019

Great to relax and learn

교육 기관: Vaibhav S

Sep 10, 2019

can be more detailed

교육 기관: Rohit V

Nov 19, 2019

thanks coursera....

교육 기관: Hemant D K

Dec 16, 2018

Very Informative.

교육 기관: snehashis p

Jan 23, 2019

very good course

교육 기관: Siddharth S

Oct 16, 2018

A nice course.

교육 기관: Akhil K

Oct 21, 2018

great course

교육 기관: Sharob S

Mar 04, 2019

Loved it.