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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
12,481 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

PS

May 9, 2018

Excellent course on the relevant parts of linear algebra for CS. Both instructors are great fun to watch and the assignments use up-to-date Python programming and Jupyter notebooks. Well done !!!

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.

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1576 - 1600 of 2,467 Reviews for Mathematics for Machine Learning: Linear Algebra

By Jaafar S

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Aug 13, 2020

Very informative.

By Quoc-Khanh N

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Jun 29, 2020

Very nice course!

By Abd-Elrhman M (

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Jun 9, 2020

great material <3

By Алексей А

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Apr 7, 2020

Unbelievably cool

By jason

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Mar 26, 2020

excellent course!

By Evgeny M

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Feb 23, 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 24, 2019

Very good course.

By Yurii O

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Jun 12, 2019

Best course ever!

By Boyan S

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Dec 16, 2018

Excellent Course.

By EDGAR O R T

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Nov 10, 2025

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 31, 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 24, 2020

Helpful Course..

By Luis U

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Oct 27, 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 16, 2020

very good course