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

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

4.7
별점
10,395개의 평가
2,080개의 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

PL
2018년 8월 25일

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.

HE
2021년 8월 8일

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

필터링 기준:

## Mathematics for Machine Learning: Linear Algebra의 2,089개 리뷰 중 1801~1825

교육 기관: Andrew X

2020년 11월 2일

In week 5, some practice questions seems a little irrelevant to the key mathematical concepts

2019년 9월 2일

The course is really nice. A bit of programming experience is needed to complete this course.

교육 기관: Nishant A

2018년 6월 4일

Brilliant brush up course. Could have had a little more about eigen vectors and eigen values

교육 기관: bowman

2020년 7월 24일

it's an execlent course, but week5 should be extend to make it clear and easy to understand

교육 기관: Utkarsh L

2020년 5월 15일

Some video lectures should be there which will give some ideas about how to do programming.

교육 기관: George P

2020년 4월 12일

Excellent course as a refresher if you've studied Physics and need to recover the content

교육 기관: Peeyush S K

2021년 11월 20일

Teaching Style and the Teaching Aids were very effective. Personally I liked the course.

교육 기관: Elnur M

2020년 4월 8일

I think it would be better if you add Singular Value Decomposition concept into syllabus

교육 기관: Hayder M A

2020년 4월 25일

Very useful materials and the instructors are very good and make it easy to understand.

교육 기관: parikshit s

2020년 2월 16일

Really Good course, learnt a lot of things, just wanted this course to be in more depth

교육 기관: Antoine P

2021년 1월 20일

Really intersting. Could be a bit difficult for people without mathematical background

교육 기관: akhil

2020년 5월 31일

Sam part wasn't so impressive. Really loved the way David has gone through the course.

교육 기관: Zhejian C

2020년 1월 20일

Teach good intuition and good explanations but maybe a bit shallow, good for beginners

교육 기관: Andrew K

2019년 2월 17일

great visual explanations of concepts, but the course could have been more informative

교육 기관: Vinayak k

2020년 6월 7일

Very good insight of linear algebra. It give different prospective of linear algebra.

교육 기관: Michał K

2019년 11월 29일

Good course, advise to take it, though sometimes not everything explained thoroughly!

교육 기관: Max W

2020년 3월 2일

excellent approach to linear algebra, high quality and carefully thought out lessons

교육 기관: Robin S

2020년 2월 17일

Very nice course. A good math overview with a balance between details and practice.

교육 기관: Kyle B

2020년 9월 23일

Good course, Its a very good basis to build a math foundation for machine learning

교육 기관: Hamza K

2019년 11월 30일

Instructor should give more example related to Data Science and Machine Learning.

교육 기관: Debzani M

2020년 4월 29일

An organized course, great for developing the imagination of mathematics and fun.

교육 기관: Deleted A

2019년 7월 19일

Really intuitive course on matrix algebra with very clear geometric explanations.

교육 기관: Secret S L

2021년 9월 27일

Good overview. I definitely had to go to outside material for the Row Reduction.

교육 기관: Hari

2019년 2월 12일

A good introduction, would recommend referring a textbook along with the course.

교육 기관: Zhuocheng Y

2018년 12월 2일

The programming grading system doesn't work well, but the course is great anyway