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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
12,465 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

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.

LK

Oct 26, 2023

Very good course. I liked very much the way the topics were presented and explained. I especially appreciate David Dye's clarity of explanations, enthusiasm, passion, and joyful attitude. Thank you.

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2226 - 2250 of 2,462 Reviews for Mathematics for Machine Learning: Linear Algebra

By Priscilla V A

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Mar 1, 2021

Nice, easy to understand

By Enzo M

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Feb 26, 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 12, 2021

it was a basic course!

By Patrick O

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Apr 12, 2020

Good content, thanks.

By Vaibhav S

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Sep 10, 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 18, 2019

thanks coursera....

By Dilshan S

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Sep 18, 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 14, 2020

Very Good Course

By snehashis P

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Jan 23, 2019

very good course

By Aboud A

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Sep 28, 2021

great course :D

By Burhanudin B

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Dec 20, 2024

Enjoy learning

By Lindly V M

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Sep 19, 2020

Learned a lot!

By Ronak J

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Jun 13, 2020

Amazing

Course

By Siddharth S

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Oct 16, 2018

A nice course.

By Chinaza N

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Jun 6, 2022

Great course!

By Moinul I

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May 23, 2022

great course

By ayush p

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Jun 1, 2020

Great course

By Akhil K

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Oct 21, 2018

great course