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
12,519 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

DT

May 30, 2021

This is a great course to built foundation for Machine Learning. Both the lecturers are amazing and great use of technology in presenting the concepts. Great example linked to PageRank algorithm.

DV

Jun 25, 2019

This was a terrific course; the instructors' are passionate and knowledgeable about the course material, the assignments are engaging and relevant, and the length of the videos feels "just right".

Filter by:

2351 - 2375 of 2,472 Reviews for Mathematics for Machine Learning: Linear Algebra

By Indira P

•

Mar 8, 2021

It is so complex and contains so much knowledge but hard to understand for beginner or intermediate in mathematic

By Kate G

•

Nov 20, 2020

The instructor is skipping a lot of material and the quizzes require working with external sources to be solved.

By Matt P

•

Feb 25, 2019

This course would be perfect if more elaboration on the maths required to complete the quizzes, was provided.

By N s n r

•

Dec 12, 2019

i expected a practical mathematic approach rather than only mathematical approach.but page rank algo is good

By Viktoria T

•

Oct 12, 2021

The course could give more insights on a number of topics and it was very brief which made a bit frustrated

By Tony M

•

Oct 24, 2020

Good course, but could add extra steps for those a little rusty with algebra, matrices, vectors and so on.

By Vikram G

•

Jul 23, 2022

The practice quizzes were just too easy. Only the last Page Rank Quiz was hard. All the others were easy.

By Jared E

•

May 27, 2018

Overall good, but some nasty difficulty with the programming assignments... especially the last one.

By Mohammed A

•

Jun 14, 2022

I got lost in many ocasions and had to look on youtube to understand the concept such as projection

By Almir B

•

Oct 16, 2020

The programming part is too confusing for someone that is just starting.

Thanks for the opportunity.

By Aniket D B

•

Aug 9, 2020

Everything is good. But I still don't have any idea about how I will use this in Machine learning.

By Alberto M

•

Apr 5, 2019

Good material if you want to refresh your knowledge, poor programming assignment support/feedback

By Ahmad A R

•

Oct 2, 2019

Repetitive/redundant questions in the assignment and minimal use of coding during the videos

By Andrea E

•

Dec 30, 2024

average, nothing special and abstract at times. There are far better free resources online.

By Tonatiuh G R

•

Mar 19, 2019

The videos need to be updated, there are quite some errors that are already identified...

By Roberto V

•

Apr 13, 2021

Lack of feedback or more help from instructors to doubts, but the course is very good.

By rishabh t

•

May 5, 2020

Explainations was good but some topics was difficult to get may be due to my basics

By Adam R

•

Nov 17, 2018

Some of the quizzes go beyond what is in the videos and often spent ages on them.

By Nicholas K

•

Apr 20, 2018

Enough gaps that I finished feeling like I really had no idea what was going on.

By David R M

•

Jul 13, 2020

Requires an understanding of python that doesn't seem to be expressed anywhere

By Jose H C

•

Dec 20, 2019

I did not see any specific application of what was learned to Machine Learning

By Thomas K

•

May 5, 2022

Covered topics sup up useful framework that give robust starting point

By Tory M

•

Sep 4, 2020

All in all this course served as a good refresher for linear algebra.

By Gary M F T

•

Oct 29, 2020

Esta en el idioma inglés. Seria factibles en el idioma español

By Alejandro T R

•

Aug 3, 2020

Really difficult to understand the explanations of the course.