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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
11,930 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

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.

PL

Aug 25, 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.

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1151 - 1175 of 2,363 Reviews for Mathematics for Machine Learning: Linear Algebra

By Levent G

Nov 4, 2020

This course was quite informative. Thank you so much.

By Rafael M

Sep 2, 2020

Great experience learning from Imperial and coursera.

By Kendre P P e

Jul 12, 2020

Really good understanding about vectors and there use

By Mariam M

May 8, 2020

Very good, very challenging and satisfying all in all

By Abdulkadir H

Sep 5, 2019

1 step closer to becoming a machine learning engineer

By Gnanesh B

Jun 9, 2018

changing the basis and reflecting plane helped me lot

By Sanjana

Dec 21, 2022

It was awesome experience while learning this course

By Ali K

Oct 30, 2022

Interseting mthods for teaching math. Thanks a lot!

By John C B

Jul 19, 2021

well presented material with nice, clean assignments

By Stephen A T

Mar 11, 2021

Value for time and money

Thank you for this platform.

By Simone d S S

Aug 21, 2020

It was a challenging course and I really enjoyed it!

By Hải P T

Jun 25, 2020

This course is very interesting about linear algebra

By Ibrahim B

Jun 3, 2020

I love the instructors as much as I loved the course

By Warren O

Apr 15, 2020

Great course. Great challenges. Completely worth it.

By UMAR T

Mar 7, 2020

Excellent course covering concepts of linear algebra

By Yunkai C

Sep 28, 2019

very nice course, highly useful for my future study!

By Vikas C

May 13, 2019

Good for basic understanding, Assignments are fine.

By Prasanna K

Mar 31, 2018

very intuitive, must have of clear description of LA

By Darshan B

Jun 7, 2023

Got a clear idea and a base of the machine learning

By Shreyas G

Sep 5, 2021

One of the best math courses that I’ve done so far.

By Sanka M

Sep 3, 2020

I recommend this to anyone who is interested in LA.

By Habibur R

Jul 17, 2020

best course of linear algebra. just love the course

By Chirag R

Jun 25, 2020

The faculty has explained the concepts very nicely.

By kable

Jun 18, 2019

Wonderful course design! Helps me a lot. Thank you!

By shariq

Sep 26, 2018

Its good course for anyone who has to build basics.