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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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2001 - 2025 of 2,363 Reviews for Mathematics for Machine Learning: Linear Algebra

By Grant W

Jan 4, 2022

It was a good course for reviewing the topic. It's probably not great for people new to the subject.

By Eduardo V O

Aug 19, 2020

Course is great. It can improve showing some more complex examples, similar to the ones in the tests

By 李振宇

Jan 20, 2020

Good experience for a beginner like me, and I am looking forward to completing the rest two courses!

By sai s

Mar 17, 2019

A very basic introduction to the math that you will find in Machine Learning. Beginner level Course

By Jefo H G

Nov 16, 2021

It would be better if more detailed explanations are given to complex problems from week 3 onward.

By Yuhao W

Oct 8, 2020

the 2nd half part of the eigenvectors is a bit fragmented and could be given one more week on it.

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.