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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
12,188 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 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

CS

Mar 31, 2018

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

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2101 - 2125 of 2,416 Reviews for Mathematics for Machine Learning: Linear Algebra

By Kyle B

Sep 23, 2020

Good course, Its a very good basis to build a math foundation for machine learning

By Hamza K

Nov 30, 2019

Instructor should give more example related to Data Science and Machine Learning.

By saksham k

Oct 17, 2022

Everything is amazing, just they need to expalin their solution in a better way.

By Debzani M

Apr 29, 2020

An organized course, great for developing the imagination of mathematics and fun.

By Deleted A

Jul 19, 2019

Really intuitive course on matrix algebra with very clear geometric explanations.

By Ahmed M

Aug 23, 2024

Good course but programming assignments are very challenging with weak guidance.

By Tatiana K

Dec 17, 2023

The last topic is still unclear to me. I would like to have more exercises on it

By Nicholas J F

Sep 27, 2021

Good overview. I definitely had to go to outside material for the Row Reduction.

By Hari

Feb 12, 2019

A good introduction, would recommend referring a textbook along with the course.

By Zhuocheng Y

Dec 2, 2018

The programming grading system doesn't work well, but the course is great anyway

By Xinsong D

Jun 14, 2018

Excellent, but for the pagerank part, the instructor teaches a little bit fast.

By Rocber

Sep 30, 2018

it is really useful to help me build geometric meaning with vector and matrix.

By phanidhar s

Jun 1, 2020

The course will help us to apply the matrices for machine learning algorithm.

By Benjamin W

Jul 16, 2021

Some of the autograding wasn't great but the discussion forums helped a lot

By Tarun A

May 21, 2020

after learn from this course, i know very well about machine learning

thanks.

By Aviral A

Dec 10, 2018

A good course for gaining knowledge for Linear Algebra for machine learning.

By 胡与诚

Apr 2, 2018

Good course, But I think it should explain more about the underlying things.

By Rishi R D

Feb 1, 2024

Great course. Final week was quite challenging compared to the other weeks.

By Alfian A H

Mar 3, 2021

Overall is good. But somehow, there are parts that I don't understand well.

By Bruna R

Feb 6, 2021

the course is excellent. I have learned a lot and it was very interactive.

By Gundepudi V

Jul 13, 2020

Was a but fast. For non engineering or people who are new it will be tough

By Abhirup B

Jul 29, 2020

goood course well designed qizes and aasignments time saving yet fruitful

By Julian A

Jun 12, 2020

Fantastic course that provides a great introduction into linear algebra.

By Ivan N

Jun 4, 2018

The course content is good, but the programming assignment is too easy.

By RITIK J K S (

Jun 1, 2020

some topics are explained in a typical way and a bit problem was occur