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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
12,329 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

MG

May 31, 2020

A great course covering key aspects of Linear Algebra with the lecturers giving a good intuition about what's going on with the subjects.(PS. I loved the sense of humor of Prof.Dye it was really fun!)

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

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2201 - 2225 of 2,441 Reviews for Mathematics for Machine Learning: Linear Algebra

By Siddharth S

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May 21, 2020

Very intuitive and helpful.

By Samridha S

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Dec 7, 2022

Week 5 feels a bit rushed.

By Rishabh C

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Mar 1, 2020

Nice Content and lectures.

By rasheeq i

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Apr 20, 2019

Should go more in details.

By Pip

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Jun 17, 2020

good high level overview.

By Ziad M H E

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Dec 10, 2022

this course is very good

By Yoni K

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Aug 27, 2021

More practice would help

By Priscilla V A

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Mar 1, 2021

Nice, easy to understand

By Enzo M

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Feb 27, 2020

quite complex but useful

By 田德宇

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Jun 23, 2019

no lectures, only videos

By AB

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Mar 3, 2019

Great to relax and learn

By Yap C Y

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Mar 14, 2021

Good explanations given

By Pourya A

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Mar 13, 2021

it was a basic course!

By Patrick O

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Apr 13, 2020

Good content, thanks.

By Vaibhav S

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Sep 11, 2019

can be more detailed

By Brian L

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Apr 20, 2020

Pretty good course.

By Kumar R

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Nov 19, 2019

thanks coursera....

By Dilshan S

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Sep 19, 2021

very good course

By Badal s

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Feb 10, 2020

Good Understanding

By Mohammed A A

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Jul 13, 2020

give more example

By hemant k

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Dec 16, 2018

Very Informative.

By Suyash S P

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Jul 15, 2020

Very Good Course

By snehashis P

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Jan 24, 2019

very good course

By Aboud A

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Sep 29, 2021

great course :D

By Burhanudin B

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Dec 21, 2024

Enjoy learning