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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
12,232 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

CS

Mar 31, 2018

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

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 2,427 Reviews for Mathematics for Machine Learning: Linear Algebra

By Dr. H K L

May 5, 2020

it is good, and very use full to any one, if those are in teaching field as a mathematics teacher

By Ajay R

Sep 11, 2019

Tough course, but got better understanding of topics related to math behind real-world ML models.

By mohammad k

Dec 9, 2023

very good course but the assignments of last two weeks are not difficult but annoying sometimes.

By أحمد ع

Jan 29, 2020

It's not perfect, but I hope if the last of the specialization is more practicable and flexible.

By Sudeep P

Jun 2, 2020

I am really happy with the course as it helped me to understand the core concept of algortihms.

By Hamza F

Mar 24, 2020

A well constructed course that can address students coming from different academic backgrounds.

By Marwa A E K

Oct 18, 2019

I learned and developed intuition of the concepts covered in this course, which I'm happy with.

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