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Back to Mathematics for Machine Learning: Linear Algebra

Learner Reviews & Feedback for Mathematics for Machine Learning: Linear Algebra by Imperial College London

4.7
stars
11,932 ratings

About the Course

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....

Top reviews

EC

Sep 9, 2019

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

HE

Aug 8, 2021

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

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2026 - 2050 of 2,363 Reviews for Mathematics for Machine Learning: Linear Algebra

By George P

Apr 12, 2020

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

By Peeyush S K

Nov 20, 2021

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

By Elnur M

Apr 8, 2020

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

By Hayder M A

Apr 25, 2020

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

By Parikshit S

Feb 16, 2020

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

By Antoine P

Jan 20, 2021

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

By akhil

May 31, 2020

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

By Zhejian C

Jan 20, 2020

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

By Andrew K

Feb 17, 2019

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

By Vinayak k

Jun 7, 2020

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

By Michał K

Nov 29, 2019

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

By Max W

Mar 2, 2020

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

By Robin S

Feb 17, 2020

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

By Kyle B

Sep 23, 2020

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

By Hamza K

Nov 30, 2019

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

By saksham k

Oct 17, 2022

Everything is amazing, just they need to expalin their solution in a better way.

By Debzani M

Apr 29, 2020

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

By Deleted A

Jul 19, 2019

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

By Tatiana K

Dec 17, 2023

The last topic is still unclear to me. I would like to have more exercises on it

By Nicholas J F

Sep 27, 2021

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

By Hari

Feb 12, 2019

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

By Zhuocheng Y

Dec 2, 2018

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

By Xinsong D

Jun 14, 2018

Excellent, but for the pagerank part, the instructor teaches a little bit fast.

By Rocber

Sep 30, 2018

it is really useful to help me build geometric meaning with vector and matrix.

By phanidhar s

Jun 1, 2020

The course will help us to apply the matrices for machine learning algorithm.