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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
12,232 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

PL

Aug 25, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

EC

Sep 9, 2019

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

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1276 - 1300 of 2,428 Reviews for Mathematics for Machine Learning: Linear Algebra

By Shanxue J

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Apr 1, 2018

Truly exceptional course. Strongly recommend!

By Juan C F G

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Jun 1, 2024

The best Mathematics course I have ever seen

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.