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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
12,393 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

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.

GB

Aug 16, 2020

The instruction was good throughout, but I would urge fellow students to take the time to work through the problems as suggested. Also, the eigen- stuff is quite tricky and can fool you. Be careful.

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1676 - 1700 of 2,449 Reviews for Mathematics for Machine Learning: Linear Algebra

By Marcus H

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Sep 14, 2020

Nice course

By Mohit G

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Sep 5, 2020

Good Course

By Kartik S S

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Sep 3, 2020

Best Course

By NAKKA L P

•

May 26, 2020

BEST COURSE

By tan c

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May 7, 2020

Very useful

By ‍정희석[ 대 / 컴 ]

•

Jan 8, 2020

Nice Course

By Mohamed B

•

Nov 30, 2019

Very useful

By Muhammad Z H

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Sep 7, 2019

learnt alot

By Lintao D

•

Aug 26, 2019

Good course

By Rodrigo F

•

Jun 23, 2019

Excellent!!

By Parag B

•

Oct 8, 2018

Excellent!!

By Mrinal G

•

Oct 1, 2018

nice course

By Le N P

•

Jul 11, 2018

many thanks

By Christopher H

•

Mar 31, 2018

Great intro

By Xu P

•

Sep 19, 2024

Very nice.

By YUCHEN O

•

May 1, 2023

Very good!

By João G M

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Dec 9, 2021

Maginific.

By 현찬수

•

May 16, 2021

Thank you.

By Cassey K N P

•

Mar 12, 2021

Huhu manta

By Siti S

•

Feb 28, 2021

Amazing :)

By Qiming L

•

Nov 4, 2020

Very good!

By Nguyễn T Đ

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Oct 28, 2020

Wonderful!

By Qinqin X

•

Jul 11, 2020

It is hard

By Daniel T d L F

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Mar 16, 2020

Very good!

By Dunwei P

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Mar 9, 2020

Excellent！