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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
12,462 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

DV

Jun 24, 2019

This was a terrific course; the instructors' are passionate and knowledgeable about the course material, the assignments are engaging and relevant, and the length of the videos feels "just right".

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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1576 - 1600 of 2,461 Reviews for Mathematics for Machine Learning: Linear Algebra

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.

By Yurii O

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Jun 11, 2019

Best course ever!

By Boyan S

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Dec 15, 2018

Excellent Course.

By Dr. S K R M

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Sep 5, 2025

excellent course

By Ana-Raluca B

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Dec 30, 2021

Fantastic course

By Fredrick A

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Sep 21, 2021

Very good course

By Muhammad H

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Sep 11, 2021

Excellent course

By Javas A B Y P

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Mar 10, 2021

This is amazing!

By nisha c

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Nov 23, 2020

Helpful Course..

By Luis U

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Oct 26, 2020

Very Good Course

By Raphael F

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Oct 16, 2020

Very Good Course

By Colin H

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Oct 2, 2020

Excellent course

By Pranav N

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Aug 25, 2020

Brilliant Course

By Vidal B F

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Aug 15, 2020

Excellent Course

By VENU K

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Jul 31, 2020

Excellent course

By GEETHA P

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Jul 15, 2020

very good course

By Suriya P

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Jun 25, 2020

Excellent course

By Khushvant C

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May 22, 2020

Excellent course

By Dhananjay B

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May 15, 2020

Well Structured!