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

10,788 ratings
2,149 reviews

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


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


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.

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876 - 900 of 2,161 Reviews for Mathematics for Machine Learning: Linear Algebra

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!

By Ashish P

Jul 24, 2019

Nice to learn math for machine learning and it's nicely design course for that.

By Jose G

Aug 3, 2020

This course is amazing. The concepts are difficult but the effort is worth it.

By 이현근

Jun 24, 2020

It gives me eyes to see everything in the world can explain by linear algebra!

By Miguel C

Jun 23, 2020

Excellent course on linear algebra to obtain (or refresh) some basic concepts.

By Viona Q

Feb 29, 2020

Excellent course. Loved the application of mathematics to real world problems.

By Patrick S

Feb 6, 2020

Very good explanation of the geometrical background of matrix transformations,


Jan 16, 2020

Excellent course. The two lectures are very very good. Very clear explanations

By Advait S

Jun 1, 2019

great course for an intro to linear algebra....thanks Imperial College London!

By Silas S K

May 1, 2019

Loved the course. Has plenty of practice quizzes and challenging problem sets.


Jul 6, 2021

A course that should be taken before diving deep into AI and Machine Learning

By Atwin P

Feb 16, 2021

Well explained. The practice and the quizzes were nothing short of brilliant.