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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
12,475 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

NS

Dec 23, 2018

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

GB

Aug 17, 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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1701 - 1725 of 2,465 Reviews for Mathematics for Machine Learning: Linear Algebra

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 João G M

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Dec 10, 2021

Maginific.

By 현찬수

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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 Nguyễn T Đ

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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

Excellent！

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

(๑•̀ㅂ•́)و✧

By Shreejeet P T

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Oct 2, 2024

nice info

By Neolanis I S H

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Jan 3, 2024

Very good

By Naime A

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Oct 1, 2023

thank you

By Rahmat

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Mar 25, 2023

Very good

By Arpit T

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Jul 28, 2022

loved it!

By Hoang L

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Jun 9, 2022

Very good

By Jack S

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Mar 9, 2022

great！！！！

By Mranmay S

•

Aug 23, 2021

excellent