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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
11,953 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

HE

Aug 9, 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

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.

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1026 - 1050 of 2,367 Reviews for Mathematics for Machine Learning: Linear Algebra

By Zecheng W

Sep 15, 2019

Awesome course. Could be improved by having more guidance on homework

By Anthony S

Sep 14, 2019

Great course and taught me insight into why linear algebra is useful!

By Cristiana G G

Jul 15, 2019

Great course, with amazing intuitions and nice programming exercises.

By Chokdee S

Jul 14, 2019

It's a great course for studying Algebra especially vector and metric

By RAVITEJA A

Aug 30, 2018

The intuitive way of teaching the subject is simply awesome.Good job.

By VAIDYANATH H

Aug 12, 2018

The course was very well taught and went on smoothly with no pressure

By Dominik

May 3, 2022

Really great course, one of most engaging courses I've seen online!

By Thomas G

Mar 15, 2022

Good introduction into applied Linear Algebra for machine learning.

By Ferdinand W

Feb 28, 2021

A bit hard, maybe you all can use more simple explanation.

Thank you

By Enrique F

Jan 2, 2021

The best mathematics course for machine learning. Super recommended.

By Jayanth M

Dec 2, 2020

very good startup for learning machine learning . A must have course

By Osama K

Oct 17, 2020

Very nice, important and enjoyable course.

You will never feel bored.

By Tiago V

Jun 26, 2020

Great course to see the applications of linear algebra in real-life.

By Osama K

Jun 5, 2020

Great value and quiet enough as linear algebra basic material for ML

By Shobhit S

May 5, 2020

Very well explanation by experienced teachers. Enjoyed whole course.

By Wambui K

Feb 21, 2019

The instructors were great and the length of the videos is bearable.

By Keith B E

Mar 21, 2020

This course was a lot more useful than the course I got in college.

By Jacint J

Feb 12, 2020

Excellent introduction to mathematical basics for Machine Learning.

By GAUTAM V

Oct 15, 2019

The course materials are communicated very efficiently and clearly.

By Narayan B

Jun 21, 2019

Very good and useful course, worth spending money and valuable time

By Pubudu H

Oct 19, 2023

This Course changed my thinking pattern on vector space completely

By Adarsh K J D

Jul 14, 2021

Great instructors. Explained all concepts in a very simple manner.

By Goh K L

Jun 6, 2021

Impressed by how the instructors can write in reverse so naturally

By Boris B

Apr 18, 2020

Really useful and everybody with passion and motivation can do it.

By Pierre C D M

Mar 24, 2020

Very good very clear. Begineers will definitively have a take out.