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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
12,332 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 9, 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

Apr 1, 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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1676 - 1700 of 2,441 Reviews for Mathematics for Machine Learning: Linear Algebra

By Mohamed B

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Nov 30, 2019

Very useful

By Muhammad Z H

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Sep 8, 2019

learnt alot

By Lintao D

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Aug 26, 2019

Good course

By Rodrigo F

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Jun 24, 2019

Excellent!!

By Parag B

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Oct 8, 2018

Excellent!!

By Mrinal G

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Oct 2, 2018

nice course

By Le N P

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Jul 11, 2018

many thanks

By Christopher H

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Apr 1, 2018

Great intro

By Xu P

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Sep 20, 2024

Very nice.

By YUCHEN O

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May 2, 2023

Very good!

By Jo?o G M

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Dec 10, 2021

Maginific.

By ???

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May 16, 2021

Thank you.

By Cassey K N P

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Mar 13, 2021

Huhu manta

By Siti S

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Feb 28, 2021

Amazing :)

By Qiming L

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Nov 4, 2020

Very good!

By Nguy?n T ?

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Oct 29, 2020

Wonderful!

By Qinqin X

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Jul 12, 2020

It is hard

By Daniel T d L F

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Mar 17, 2020

Very good!

By Dunwei P

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Mar 10, 2020

贰虫肠别濒濒别苍迟！

By Juan N C U

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Nov 24, 2019

Muy aspero

By Hass A

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Aug 14, 2019

Thank you.

By Nedim M

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Aug 6, 2019

Thank You!

By denise d

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May 6, 2018

Excellent!

By Mashima T

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Mar 24, 2018

(??????)??

By Shreejeet P T

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Oct 1, 2024

nice info