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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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1401 - 1425 of 2,449 Reviews for Mathematics for Machine Learning: Linear Algebra

By Muhammad M

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Aug 21, 2019

An amazing course for a beginner.

By gaurav k

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Jul 3, 2019

well explained details on Algebra

By Michael B

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Jun 22, 2019

Excellent course and instructors!

By Ezequiel A G

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Jul 8, 2018

Amazing course! Thank you so much

By nicole s

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Apr 17, 2018

Great teacher and teaching style!

By Aqib A

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Jul 26, 2025

Best course for machine Learning

By Juan E N C

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Sep 17, 2024

Covers required material for L.A

By Abhishek C S

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Oct 3, 2020

great and patient teaching staff

By Laura L

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Sep 26, 2020

ESTE CURSO.... SE PUEDE TRADUCIR

By SURYADEVI B

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Jul 23, 2020

Very helpful videos and lectures

By Kamlesh K

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Jun 18, 2020

It is truly amazing and helpful.

By Bala

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Aug 16, 2019

Easy and comfortable class ever.

By Alex

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Sep 18, 2021

very nice and intuitive course

By Vaneesh D

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Sep 10, 2021

Very good, worth every second !

By Aditya J

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Mar 4, 2021

Excellent introduction to ML!!!

By Zhongfa L

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Feb 13, 2021

Great refresher of undergrad LA

By kshitiz k

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Jun 8, 2020

great course on Linear Algebra!

By Nurullokh N

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Jun 7, 2020

Great course for linear algebra

By NIKHIL R

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May 21, 2020

Good course.Easy to understand.

By Sumukh H

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May 2, 2020

One of the best courses ever!!!

By Xinyi J

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Jul 26, 2019

Clear and vividly! Recommend!!

By Toan L T

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Sep 29, 2018

A great course in a good series

By YANG Y

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Jul 13, 2023

Easily understand and funny!!!

By Mondher G

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Apr 2, 2023

Great course, I learned a lot.

By Cheng G

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Jun 3, 2021

This course is almost perfect.