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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
12,324 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 10, 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 26, 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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By Md. R Q S

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Aug 20, 2020

great

By Syed s A

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Jul 13, 2020

Nice!

By shobit G

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Nov 8, 2018

good!

By Stephen

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Sep 7, 2023

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May 24, 2023

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Mar 31, 2023

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Mar 16, 2023

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Jan 28, 2023

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Apr 15, 2022

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Mar 27, 2022

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Jul 25, 2021

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Mar 18, 2021

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Mar 11, 2021

Nice

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Mar 11, 2021

nice

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Mar 1, 2021

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Feb 28, 2021

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Feb 26, 2021

good

By Layyinatus S

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Feb 25, 2021

wow!

By Felix C

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Feb 23, 2021

good

By Merey O

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Dec 12, 2020

nice

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Dec 1, 2020

good