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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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1551 - 1575 of 2,449 Reviews for Mathematics for Machine Learning: Linear Algebra

By Jim A

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Apr 14, 2020

Great instruction.

By tishat a

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Apr 14, 2020

week 5 was amazing

By Dipit M

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Jan 8, 2020

Amazing Experience

By muhamad r

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Feb 20, 2019

easy to understand

By Bruno F

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Oct 9, 2018

Very useful course

By Carlos S

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May 30, 2018

Good refreshing!!!

By Pepe P

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Aug 3, 2024

Excellent course!

By Rida A J

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Dec 2, 2023

it was a good one

By Muhammad N A

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Jul 15, 2023

Best for biggners

By Krishna N

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Jan 6, 2023

Beautiful course!

By Yujia Q

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Nov 4, 2022

Very good course!

By Arnie D

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Sep 26, 2021

I had lots of fun

By Lalit D

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Sep 6, 2021

Good for Revision

By Deleted A

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Nov 29, 2020

Simply excellent!

By Miguel R H P

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Oct 7, 2020

Excellent course.

By Ms.Smitha G N M

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Aug 14, 2020

It is very nice..

By Jaafar S

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Aug 13, 2020

Very informative.

By Quoc-Khanh N

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Jun 28, 2020

Very nice course!

By Abd-Elrhman M (

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Jun 8, 2020

great material <3

By Алексей А

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Apr 7, 2020

Unbelievably cool

By jason

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Mar 25, 2020

excellent course!

By Evgeny M

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Feb 22, 2020

Excellent course!

By Fabian G

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Dec 23, 2019

Excellent course.

By Runjeeth N

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Jul 8, 2019

just exceptional.

By Sanjiv R

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Jun 23, 2019

Very good course.