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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
12,425 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

GB

Aug 16, 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.

MG

May 30, 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!)

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1251 - 1275 of 2,454 Reviews for Mathematics for Machine Learning: Linear Algebra

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 H

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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.

By Marco C

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Apr 8, 2018

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

By Edgar M

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Sep 19, 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 Coursera.

By Derek B

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Aug 15, 2020

The professor is super clear and makes it fun!

By Majd A

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Jul 10, 2020

thank you so much this was so fun and informal

By AYUSH M

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Jun 12, 2020

Really Great way to brush up on Linear Algebra

By Manikant R

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Jun 6, 2020

Easy course, if you are an engineering student

By Pritesh R

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Apr 28, 2020

Need to provide more examples and explanations

By Vignesh S

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Nov 24, 2019

Awesome course with great learning experience!

By יונה פ

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Oct 8, 2019

greate course! really clear and well teaching!

By Syed M S M

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Aug 29, 2019

Essential recap and practical implementations.