Chevron Left
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
12,422 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 23, 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.

PL

Aug 26, 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.

Filter by:

1301 - 1325 of 2,454 Reviews for Mathematics for Machine Learning: Linear Algebra

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 14, 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!

By 경언이

•

Dec 17, 2021

helpful lectures!!

thanks for great lecture

By Luke P

•

Mar 5, 2021

Excellent lecturers, excellent production.

By Xiaoou W

•

Nov 21, 2020

nice balance between theory and intuition.

By Opas S

•

Jul 13, 2020

Great tutorial for refresh my mathematics.

By Rajkumar R

•

Jun 4, 2020

I learnt new concepts and enjoyed learning

By Christopher H

•

May 25, 2020

Great video production, clear and concise.

By Gen L

•

Oct 28, 2019

Terrific! That is very easy to understand.

By taeha k

•

Jul 23, 2019

Good for studying basics of linear algebra

By Veerapot K

•

Jun 25, 2019

Very easy to understand, even for beginner

By Andrii S

•

Oct 1, 2018

Good course to start learning math for ML.

By Quentin P

•

Apr 23, 2018

Really nice introduction. Highly recommend

By Song Y

•

Jun 29, 2023

A quick but nice review of linear algebra

By Kisara K

•

Nov 20, 2022

Loved the hands-on python lab assignments

By Alain A

•

Apr 30, 2022

Explanations on the videos are excellent.

By Biruk M

•

Mar 16, 2022

it was amazing thanks for bright lecture

By JOANNE F

•

Jan 24, 2022

This course was well designed and taught.