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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
12,188 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

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

CS

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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1226 - 1250 of 2,416 Reviews for Mathematics for Machine Learning: Linear Algebra

By J N B P

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Aug 12, 2020

A good course for intermediates in Linear Algebra

By John R

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Aug 4, 2020

Excelent quality of videos and good explanations.

By Moises G

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Jul 13, 2019

Excelent, I reinforced what I previously learned.

By Maciej K

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May 15, 2018

great course, gives clear info on linear algebra.

By arnaud j

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May 12, 2018

Nice introduction or freshener on linear algebra.

By Fernando P

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Apr 14, 2021

It's very helpful Thank you for your great work!

By Divyansh K

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Oct 3, 2020

The best mathematics course for machine learning

By Sayed J A S A A S

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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 23, 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 Yasser A

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Dec 19, 2022

Very good to get started into ML specialization

By Chirath L V

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Sep 25, 2022

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

By Michael W

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Nov 20, 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 18, 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 2, 2020

Very Useful. Thank you Imperial College London.

By Omar A E N

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Mar 30, 2020

it's an awesome course with awesome instructors

By Valentina Z D

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Feb 12, 2020

thank you for making education more accessible.