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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
12,534 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

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.

MS

May 7, 2018

Good, but sometimes it is neccessary to look for supporting materials. I took this course in combination with MIT course in LA and this offered another, more practice oriented, view on the topic.

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1651 - 1675 of 2,477 Reviews for Mathematics for Machine Learning: Linear Algebra

By Kavya G

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Jul 21, 2020

Great Course!

By Alix B

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Jul 9, 2020

Great course!

By AbdulRahman A M

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May 2, 2020

Lovely course

By Classic N

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Apr 5, 2020

Great course!

By HieuCNSE150774

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Feb 7, 2020

Nice teachers

By dheeraj k

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Feb 3, 2020

excellent one

By Sourav S

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Jun 29, 2019

Thank You Sir

By Virender p s

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Jun 2, 2019

Great course.

By Viswanath M

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Nov 14, 2018

Very helpful!

By Marakhi D

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May 8, 2018

Great course.

By Muhammad S

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Oct 27, 2025

Great Course

By Xinjie C

•

May 22, 2024

Pretty good!

By Tien H H

•

Jan 23, 2022

Great Course

By iorilu

•

Jun 3, 2021

very helpful

By Naeem A

•

Dec 27, 2020

Great course

By James S

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Sep 22, 2020

great course

By Arnau P

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Jul 30, 2020

Really cool!

By Russel A

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Jul 29, 2020

Great course

By manshu k

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Sep 5, 2019

Really good.

By Karim_1

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Jul 24, 2019

great course

By Maya A

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Jul 22, 2019

great course

By sweta g

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Mar 30, 2019

GOOD COURSES

By Marco C

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Jan 27, 2019

Simply great

By Gorelov A

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Jan 20, 2019

Great course

By Yerjan A

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Jan 4, 2019

Got momentum