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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
12,479 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

AS

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.

DV

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".

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1251 - 1275 of 2,466 Reviews for Mathematics for Machine Learning: Linear Algebra

By Sayed J A

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Sep 9, 2020

This course is very informative for the beginner

By Manas K P

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Aug 25, 2020

Excellent content from the Imperial team. Thanks

By Pinto B D

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Aug 24, 2020

Excellent to understand basics of Linear algebra

By Budi S

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Jun 2, 2020

I got a great experience on this course, really.

By Park J

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Apr 3, 2020

I got I expected to take this course. Thank you!

By karthikeyan j

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Dec 15, 2019

Excellent Teachers I wish attend them in person.

By Thomas P

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Oct 1, 2019

Topics are well motivated and explained clearly.

By Marc G

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Oct 9, 2018

Brilliant course! The instructors are excellent.

By Marc B

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Oct 7, 2025

Excellent explanations, especially by Prof. Dye

By Yasser A

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Dec 20, 2022

Very good to get started into ML specialization

By Chirath L V

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Sep 26, 2022

One of the greatest course I have ever taken!!!

By Michael H

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Nov 21, 2021

Great course! Thank you Dr. Dye and Dr. Cooper!

By Shivansh B

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Aug 23, 2020

it was an amazing experience taking this course

By Harikesh

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Jul 30, 2020

please check the problems of students regularly

By ASHUTOSH T

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Jun 19, 2020

excellent one, they lectures were too the point

By Neranjan

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May 4, 2020

Best linear algebra course to learn the basics.

By SRISHTI Y

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May 3, 2020

Very Useful. Thank you Imperial College London.

By Omar A E N

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Mar 31, 2020

it's an awesome course with awesome instructors

By Valentina Z D

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Feb 13, 2020

thank you for making education more accessible.

By Marco C

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Apr 9, 2018

One of the best online courses I've ever taken.

By Edgar M

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Sep 20, 2024

I personally found this course really helpful!

By Enrique A

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Oct 27, 2020

Mil Gracias I.C. London. Mil gracias 糖心vlog官网观看.

By Derek B

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Aug 16, 2020

The professor is super clear and makes it fun!

By Majd A

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Jul 11, 2020

thank you so much this was so fun and informal

By AYUSH M

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Jun 13, 2020

Really Great way to brush up on Linear Algebra