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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
11,955 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

NS

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.

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

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2351 - 2368 of 2,368 Reviews for Mathematics for Machine Learning: Linear Algebra

By Zicheng L

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Jul 13, 2021

That course content are not descriptive enough. Also, there are no slides.

By Karl F

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Jun 11, 2022

not a good course to start, assumes you already knwo the concepts!

By Jesse L

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Apr 22, 2024

Zero stars. Cannot understand the speaker's heavy accent!

By ankit p

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Aug 24, 2020

Not for someone with less knowledge about terminologies.

By Jules A d C

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May 6, 2020

Doesn't explain how it is related to Machine Learning.

By Ephraim N

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Oct 5, 2020

Please I am not interested in taking the course again

By Himanish C

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May 4, 2021

Terrible course, skips through a lot of concepts

By Deleted A

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May 29, 2020

Don’t waste your money with Coursera it’s a con.

By Andrew E

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Jun 17, 2019

First quiz doesn’t work properly. Can’t submit.

By Kevin J C

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Apr 13, 2023

Lab exercises are unrelated to the lectures.

By Chris Y

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Aug 30, 2019

very bad, everything is not clear

By Eleftherios L

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Jan 18, 2022

it is not in with greek subtitle

By Hadi A

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Oct 1, 2021

It is not at all for biggners.

By Enyang W

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Aug 23, 2019

worst course ever

By Infanta F

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Jun 1, 2023

bad very bad

By Arup B

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Sep 20, 2021

very bad

By Farzad F

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Jan 27, 2023

So bad

By Vaibhav J

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Aug 10, 2020

Bad