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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
12,157 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 22, 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.

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.

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626 - 650 of 2,412 Reviews for Mathematics for Machine Learning: Linear Algebra

By Aharon L

Nov 13, 2022

The course is very extensive and informative.

I think that if I didn't already learn linear algebra 1 and 2 at the uni I wouldn't understand

By Gabor B

Oct 3, 2020

Used this course as a refresher, it has done a great job and even managed to teach me some geometric intuition behind some of the concepts.

By Yevhenii S

Feb 15, 2019

Very good course. It well structured, good lectures and assignments. It gives enough intuition and refresh to move forward. Thank you team!

By Ediz F K

Jul 28, 2023

Good insights on matrix transformations, basis, orthonormal matrices, and eigenvalues. Lecturers are really good. Videos are high quality.

By Gokhan K

Mar 18, 2021

Very nice course, teaching the necessary points in Linear Algebra with lots of examples. Quizzes and labs also contributed to my learning.

By Juan M C

Feb 15, 2021

Very easy to understand, I'm very appreciated with the methodology, because it showed practical examples to reinforce the concepts. Thanks

By Alikhan S

Oct 26, 2020

It was unbeliavable experience in my life. My first step into machine learning. Thanks a lot fot whole administration of Imperial College.

By Daria B

May 15, 2020

Very nice pace of the course will not overwhelm you. Thank you very much to all the instructors, it was indeed very fun to learn with you!

By Dilver J H G

Nov 6, 2019

I strongly recommend to follow this course, it's challenging at times but it's worth it in order to build a solid base in machine learning

By srimat m

Aug 17, 2019

awesome learning experience, great visualization of number and its just number which can mean a lot!!! must take course... thank you team!

By Pratyush K

Jan 21, 2019

The course is a great one for someone who has been through high school mathematics. On hand questions are practiced using machine learning

By 郭宇

Jan 9, 2019

Einstein Notation is very useful, and I hadn't heard of it before the class. With this tool, I can easily derive formulas in MATRIX form.

By Niraj P B

Sep 7, 2020

it was really a great course and a great pleasure for me getting chance to learn about Mathematics for machine learning : Linear algebra.

By Sungbae C

Sep 28, 2019

Extremely useful, but I would not recommend to take it without ANY prior knowledge of linear algebra, as the course's pace is quite fast.

By Amy G

Jul 23, 2019

A great conceptual introduction to linear algebra without excessive number-crunching (after all, a computer can do the math for you now).

By Tahina F W R

Jul 30, 2018

I appreciated how teachers at Imperial London College showed practical aspects of linear algebra. I think it was a well condensed course.

By Karan B

Mar 28, 2023

Really nice course. I am not really good with maths but still could get trough it and helped enhanced my understanding of linear algebra

By Nasirov A

May 21, 2022

I strongly recommend you this course. Here I completely understand why we use matrices and how matrices can simplify our transformation!

By Horacio A C

Jul 24, 2020

Great courses. Teachers maje things really simple. I've took other álgebra courses but this one use clearer and deeper at the same time.

By Bilal

Nov 6, 2019

A magnificent overture to ML and an excellent LA refresher. Excellent instructors. Some of the assignments were a bit hard but worth it.

By Sergii T

Oct 8, 2018

This is a good Course with nice lecturers. Thank you very much! Recommended to everyone who is interested in the Topic of Linear Algebra

By Shufei W

Apr 9, 2018

Very good presentations and I like the way you constructed the material, not just solving the equations. Thank you very much. Shufei

By Rodrigo P R

Sep 16, 2024

Very fluid and clear, even for those of us who haven't practiced this type of algebra in a long time, I hope to continue on this track.

By Abay B

Jul 7, 2022

Professor is well animated in his performance, the quality of the videos is amazing, and the content concise, practical, clear and fun!

By Hussain W A

Dec 27, 2020

Please I would like you to include the course on probability from Imperial College London as this is the main part of Machine Learning