Name: Mathematics for Machine Learning: Linear Algebra
Brand: Imperial College London
Availability: OnlineOnly
Rating: 4.7 (2440 reviews)

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Learner Reviews & Feedback for Mathematics for Machine Learning: Linear Algebra by Imperial College London

4.7

stars

12,329 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

May 31, 2020

A great course covering key aspects of Linear Algebra with the lecturers giving a good intuition about what's going on with the subjects.(PS. I loved the sense of humor of Prof.Dye it was really fun!)

Aug 9, 2021

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

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2426 - 2441 of 2,441 Reviews for Mathematics for Machine Learning: Linear Algebra

By Priyabrota S

Jun 8, 2020

No practical example. Like University hard mathematics lecture. This course content does not relate to the course title.

By ed r

Mar 15, 2025

there is a error in grading Programming Assignment: Page Rank, and I can not finish the module because of that

By Zicheng L

Jul 14, 2021

That course content are not descriptive enough. Also, there are no slides.

By Rohan D

Jan 3, 2025

The details of how things are derived are not particularly clear.

By Jesse L

Apr 23, 2024

Zero stars. Cannot understand the speaker's heavy accent!

By ankit p

Aug 25, 2020

Not for someone with less knowledge about terminologies.

By Jules A d C

May 6, 2020

Doesn't explain how it is related to Machine Learning.

By Karthikeyan R

Jan 12, 2025

Not clear on the concept, too many gaps to understand

By Ephraim N

Oct 6, 2020

Please I am not interested in taking the course again

By Himanish C

May 4, 2021

Terrible course, skips through a lot of concepts

By Deleted A

May 30, 2020

Don’t waste your money with 糖心vlog官网观看 it’s a con.

By Andrew E

Jun 17, 2019

First quiz doesn’t work properly. Can’t submit.

By cyara g

Mar 21, 2025

i need my lab reset, and no one is helping me.

By Chris Y

Aug 30, 2019

very bad, everything is not clear

By Enyang W

Aug 23, 2019

worst course ever

By Vaibhav J

Aug 10, 2020

Bad