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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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1276 - 1300 of 2,416 Reviews for Mathematics for Machine Learning: Linear Algebra

By Omer S

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Aug 24, 2023

What does not kill you, makes you stronger.

By Ernesto A R L

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Nov 4, 2022

Muy bueno, sobre todo porque es muy aplicado

By Harold

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Sep 25, 2021

Great course, great lecturers, great efforts

By Muhammad J A

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Feb 26, 2021

hard enough for me, give me some headache :)

By Sateesh K

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Aug 26, 2020

Excellent course. Well designed assignments.

By Sathiya N S

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Jun 29, 2020

Very Good Course. Instructors are excellent.

By Md. R A R

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May 27, 2020

Excellent course with fantastic instructors.

By Matan A

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Oct 4, 2019

The materials and the lectures just awesome!

By Kevin H

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Aug 10, 2019

Very helpful. Video lectures were well done.

By PRATYUSH

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Jan 4, 2022

Exciting tools to accelerate visualization.

By Nghiêm X B

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Sep 11, 2021

Very interesting. I gain a lot of knowledge

By Thomas L

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Nov 12, 2019

It will give you a very basic understanding

By Apurv

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Oct 7, 2019

Pretty good for brushing up the mathematics

By K F

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Sep 13, 2019

I had a very good time with linear algebra.

By Václav R

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Aug 26, 2019

Nice intro to the linear algebra intuition.

By XIAO N (

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Aug 31, 2018

Very good materials focusing on math for ML

By Andrey

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Aug 10, 2018

Really good course with clear explanations.

By Любомир К

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Oct 5, 2023

Really cool course with a lot of practice.

By moraining

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Mar 14, 2023

Really great! Interesting and stimulating!

By 경언이

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Dec 17, 2021

helpful lectures!!

thanks for great lecture

By Luke P

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Mar 4, 2021

Excellent lecturers, excellent production.

By Xiaoou W

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Nov 21, 2020

nice balance between theory and intuition.

By Opas S

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Jul 12, 2020

Great tutorial for refresh my mathematics.

By Rajkumar R

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Jun 4, 2020

I learnt new concepts and enjoyed learning

By Christopher H

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May 25, 2020

Great video production, clear and concise.