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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
12,465 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.

LK

Oct 26, 2023

Very good course. I liked very much the way the topics were presented and explained. I especially appreciate David Dye's clarity of explanations, enthusiasm, passion, and joyful attitude. Thank you.

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1301 - 1325 of 2,462 Reviews for Mathematics for Machine Learning: Linear Algebra

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.

By Gen L

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Oct 28, 2019

Terrific! That is very easy to understand.

By taeha k

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Jul 23, 2019

Good for studying basics of linear algebra

By Veerapot K

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Jun 25, 2019

Very easy to understand, even for beginner

By Andrii S

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Oct 1, 2018

Good course to start learning math for ML.

By Quentin P

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Apr 23, 2018

Really nice introduction. Highly recommend

By Song Y

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Jun 28, 2023

A quick but nice review of linear algebra