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

10,863 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


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.


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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876 - 900 of 2,180 Reviews for Mathematics for Machine Learning: Linear Algebra

By Peter W

Oct 20, 2019

Easy to learn and understand the abstract core concepts of linear algebra. Thanks.

By Lotachukwu I

Mar 23, 2019

The course content, structure and tutors are superb. Challenging assignments though

By Mark C

Jul 15, 2018

Thiw as much more interesting than the linear algebra class I took a long time ago.

By Rhian T

Jun 18, 2018

Clearly presented and engaging through the course's focus on Data Science problems.

By Fabio P

Dec 13, 2020

Great couse presenting the basic of Linear Algebra and its use to machine learning

By syed a

Oct 29, 2020

It was a great journey, It shows me intuitive prospective to learn linear algebra.

By Nikita C

Mar 30, 2020

Great course with everything explained visually! I would recommend it to everyone.

By Ajay

Jul 2, 2019

Brilliant course to covers all nitty-gritty of Liner algebra in Machine Learning.

By Andrew L L

Jul 2, 2019

A clear and concise introduction to linear algebra. Excellent instructors as well.

By Janzaib M

Jun 15, 2018

Perfect for those who thinking of starting Machine Learning and Data Science or AI

By Revi F A M

Mar 19, 2022

im not going to lie, it is hard for me who have forgotten high school mathematics

By Ahmad F G

Mar 11, 2021

it's awesome, come on and join to learn machine learning from mathematics concept


Jun 23, 2020

Theory and examples discussed in lecture may more closely mapped to the Exercises

By Daniel A

May 9, 2020

Excellent instruction, with great relationship between the videos and assignments

By Suyog P

Jul 20, 2019

Amazing course for neophytes who wants to dive into the world of Machine Learning

By sarathva v

Jun 27, 2019

course is amazing. Approach of teaching via intuitions was just amazing.loved it.

By nishay m

Sep 2, 2018

I Had Really fun doing it and they helped me get a Intuitive learning experience

By Bernard P

Jul 16, 2018

Very helpful insight into linear algebra for ML, also introduction to numpy usage

By Rishabh K Y

Aug 15, 2020

Quite interesting course. Instructors showed great skills. Good for engineering.

By Kovendhan V

Jul 2, 2020

Much needed and often overlooked foundation skills for carving a career in AIML.

By Ravi D S

Jun 11, 2020

I want Thank you Coursera and Instructor for adding the values in my knoweledge

By Jack C

May 24, 2020

Great course! It teaches Linear Algebra in a fun, easy(ish), and effective way!

By Ahmed S H M

Apr 22, 2020

Thanks Coursera and Imperial for the awesome instructors, material and content

By Anand K

Apr 17, 2020

damn good! i love David Dye and sam cooper teaching approach and explanations!!

By Ibon U E

Nov 13, 2019

Excellent contents, explanations and practice quiz and programming assignments!