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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
12,186 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

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

NS

Dec 22, 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.

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2076 - 2100 of 2,416 Reviews for Mathematics for Machine Learning: Linear Algebra

By Berkay E

Jul 26, 2019

Some of the concepts are unclear. You need to make extra research to understand whole concepts.

By Mars F

Apr 16, 2019

Very good I learn a lot though I get confused in Week 4 about E @ TE @ inv(E). Thank you profs!

By Vinayaka R K

Aug 15, 2020

The eigwn vector parts could've been much much better, rest apart assignments were really good

By Mohamed A A

Jun 23, 2020

very good for beginners who want to understand what happens in machine learning under the hood

By Md M I

May 3, 2020

A little more assignments might be good towards the end. Otherwise, it is an excellent course.

By Alexander D K

Aug 21, 2019

Fairly good introductory course but not a substitution for a proper LA course for ML purposes.

By MIGUEL A G H

Dec 27, 2020

Very usefull to deep in the mathematical foundations of machine learning. Very recommendable.

By Andrew X

Nov 2, 2020

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

By Aditya G

Sep 2, 2019

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

By Nishant A

Jun 4, 2018

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

By bowman

Jul 24, 2020

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

By Utkarsh L

May 15, 2020

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

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.