Chevron Left
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
11,930 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.

PL

Aug 25, 2018

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.

Filter by:

376 - 400 of 2,363 Reviews for Mathematics for Machine Learning: Linear Algebra

By Yutong Z

Apr 16, 2019

So great in general! But since it is not a pure maths course, some concepts are not explained in depth. It's a perfect course for self-learner because you can always go to the forum to look for answers.

By Michael A P

Sep 9, 2023

Great class, you'll learn a lot. Class is listed as Beginner, but it I think it is much harder than "Beginner". I took Linera Alg ~35 years ago and thought this would be a review. Worth the time |:-)

By Hanadi S

Jun 11, 2023

I appreciate the way that you taught this course. I loved your joy of teaching and making sense of linear algebra in machine learning, and looking forward to joining the next course.

Thank you so much!

By Juan P M C

Aug 7, 2020

Excellent course, perfect for anyone who wants to get started in Linear Algebra. The teachers explain everything clearly and the assignments are of the proper difficulty in order for you to understand.

By T K

Jul 18, 2020

A well packed non conventional course on linear algebra, full of interesting geometric interpretations, difficulty of the course is absolutely perfect, i am going to recommend this course to my friends

By Om K

Mar 22, 2020

The course is good because it doesn't just teach all of linear algebra like some other courses. It only teaches what is specific to Machine Learning which actually saves a lot more time than you think.

By Geoffrey B

Aug 17, 2020

The instruction was good throughout, but I would urge fellow students to take the time to work through the problems as suggested. Also, the eigen- stuff is quite tricky and can fool you. Be careful.

By Mahyar G

May 31, 2020

A great course covering key aspects of Linear Algebra with the lecturers giving a good intuition about what's going on with the subjects.

(PS. I loved the sense of humor of Prof.Dye it was really fun!)

By Shuang J

Nov 17, 2019

This course is not for people without any knowledge on Linear Algebra, but for those with who want to build intuitive understanding of how Linear Algebra works.

I particularly like Dave's instruction.

By Vitória C

Jul 11, 2018

The content of the course is very relevant, and the instructors are really fun and helpful.My only suggestion is to upload revisions for each assessment, so we can understand what we are doing wrong.

By Lukasz K

Oct 27, 2023

Very good course. I liked very much the way the topics were presented and explained. I especially appreciate David Dye's clarity of explanations, enthusiasm, passion, and joyful attitude. Thank you.

By Bincheng W

Mar 4, 2019

Satisfactory. Most satisfactory. Actually, this course is possibly the best linear algebra MOOC class in terms of instructor teaching style and how they pick and convey the most insightful concepts.

By David V

Jun 25, 2019

This was a terrific course; the instructors' are passionate and knowledgeable about the course material, the assignments are engaging and relevant, and the length of the videos feels "just right".

By Pinas G

Sep 14, 2019

Excellent course!! The Mathematics for Machine Leaning : Linear Algebra offered by the Imperial College of London it's a good step into building a strong foundation in the field of Linear Algebra.

By Jitender S V

Jun 30, 2018

This is the BEST course if anyone wants to learn linear algebra for machine learning. Lectures are clear and very understandable and quiz questions are great, too. Thank you for this great course.

By Dinesh T

May 30, 2021

This is a great course to built foundation for Machine Learning. Both the lecturers are amazing and great use of technology in presenting the concepts. Great example linked to PageRank algorithm.

By Anurag S

Jul 12, 2019

It's a nice course but instructors should go in more details. It's mostly high school mathematics. I was expecting undergraduate level Linear Algebra. Otherwise it was a good learning experience.

By Peter H S

May 9, 2018

Excellent course on the relevant parts of linear algebra for CS. Both instructors are great fun to watch and the assignments use up-to-date Python programming and Jupyter notebooks. Well done !!!

By James B

Jul 31, 2020

Efficient, targeted course for learning the language and basic operations within linear algebra. Excellent for those working full-time, and for those without much experience with linear algebra.

By kmccall

Apr 5, 2020

really good. i would have been fine with a slightly longer course that worked through more examples and alternative explanations in order to ensure more solid understanding of complex concepts.

By Archana D

Mar 3, 2020

Brilliantly explained, loved the use of different marker which helped to understand better. Only one suggestion, if the summary has the mathematical equations/python equivalent would be helpful.

By Roshan B

Jul 17, 2019

Excellent overview of Linear Algebra for those who had not formally taken up a course on the subject. I had taught myself linear algebra about 18 years back and this was a great refresher course

By Vincent L

Aug 7, 2018

The concepts are explained well. However, might not be very useful for people who have some basic understanding of linear algebra. Taking this course is not as effective as reading the textbook.

By Rafat R

Jun 19, 2020

Absolutely brilliant course. Mr Dye was absolutely marvellous. Got a clear and evolved concept of matrices and vectors hopefully that will help me in some ways in my machine learning pursuits.

By Kwame A G

Mar 8, 2019

Taught in an intuitive way. Never have I been able to understand linear algebra better than after following the first 3 weeks of this course. I can't wait to complete the entire specialization