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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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1501 - 1525 of 2,449 Reviews for Mathematics for Machine Learning: Linear Algebra

By Dmitriy K

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Jul 17, 2020

It's a perfect course!

By K. J

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May 13, 2020

one of the fine course

By N'guessan L R G

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Apr 14, 2020

I've liked this course

By Tayler S

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Jan 22, 2020

High-quality teaching.

By Fanghang J

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Oct 27, 2019

Very clearly explained

By Deeparaj A C

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Mar 26, 2019

It was a great course.

By Kevin M

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Mar 24, 2019

Very, very accessible.

By MIGUEL A S H

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Apr 4, 2024

Excelente explicación

By 杨承坤 C Y

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Aug 11, 2020

Very fun and helpful!

By Nidhi G

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Jul 13, 2020

Awesome Instructors!!

By SAQLAIN H

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Jul 10, 2020

excellent assignments

By Pascal P

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Mar 31, 2020

Awesome presentation.

By Leonardo H T S

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Sep 26, 2019

Altamente recomendado

By SiriusXDJ

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Sep 15, 2019

A very useful course.

By Luiz F S G

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Feb 3, 2019

Great quality course!

By ash g

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Jan 20, 2019

Good intuitive intro.

By Janine S

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May 24, 2024

Clear and well paced

By Dennis M S

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Nov 21, 2022

Awesome Instructors.

By Subhodip P

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Dec 15, 2020

Really learned a lot

By Syed M H M

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Aug 4, 2020

A well worthy course

By DHYANA C R

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Jun 30, 2020

Really Great course!

By Sudheesh R S

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Apr 15, 2020

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By Dhaval R

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Jan 12, 2020

its vary good course

By Andreas P

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Sep 22, 2019

Thank you very much.

By Edison C

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Jul 18, 2018

Excellent enjoyment!