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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
11,932 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

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.

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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1226 - 1250 of 2,363 Reviews for Mathematics for Machine Learning: Linear Algebra

By Homar H

Aug 6, 2020

A perfect course to start with linear algebra

By AKSHAY S G

Apr 25, 2020

one of the good course about machine learning

By Zhou Y

Mar 3, 2020

Excellent course! Enjoyable learning process.

By Alexander Z

Jul 26, 2018

Awesome introduction to LA!

Very good content!

By Nirmesh G

May 6, 2018

very useful! changes the perspective of math.

By Shanxue J

Apr 1, 2018

Truly exceptional course. Strongly recommend!

By Omer S

Aug 24, 2023

What does not kill you, makes you stronger.

By Ernesto R L C

Nov 4, 2022

Muy bueno, sobre todo porque es muy aplicado

By Harold

Sep 25, 2021

Great course, great lecturers, great efforts

By Muhammad J A

Feb 26, 2021

hard enough for me, give me some headache :)

By Sateesh K

Aug 26, 2020

Excellent course. Well designed assignments.

By Sathiya N S

Jun 29, 2020

Very Good Course. Instructors are excellent.

By Md. R A R

May 27, 2020

Excellent course with fantastic instructors.

By Matan A

Oct 4, 2019

The materials and the lectures just awesome!

By Kevin H

Aug 10, 2019

Very helpful. Video lectures were well done.

By PRATYUSH

Jan 4, 2022

Exciting tools to accelerate visualization.

By Nghiêm X B

Sep 11, 2021

Very interesting. I gain a lot of knowledge

By Thomas L

Nov 12, 2019

It will give you a very basic understanding

By Apurv

Oct 7, 2019

Pretty good for brushing up the mathematics

By K F

Sep 13, 2019

I had a very good time with linear algebra.

By Václav R

Aug 26, 2019

Nice intro to the linear algebra intuition.

By XIAO N (

Aug 31, 2018

Very good materials focusing on math for ML

By Andrey

Aug 10, 2018

Really good course with clear explanations.

By Любомир К

Oct 5, 2023

Really cool course with a lot of practice.

By moraining

Mar 14, 2023

Really great! Interesting and stimulating!