Chevron Left
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
12,558 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

KK

Apr 5, 2020

really good. i would have been fine with a slightly longer course that worked through more examples and alternative explanations in order to ensure more solid understanding of complex concepts.

GB

Aug 17, 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.

Filter by:

1426 - 1450 of 2,482 Reviews for Mathematics for Machine Learning: Linear Algebra

By Laura L

•

Sep 27, 2020

ESTE CURSO.... SE PUEDE TRADUCIR

By SURYADEVI B

•

Jul 24, 2020

Very helpful videos and lectures

By Kamlesh K

•

Jun 19, 2020

It is truly amazing and helpful.

By Bala

•

Aug 16, 2019

Easy and comfortable class ever.

By Alex

•

Sep 19, 2021

very nice and intuitive course

By Vaneesh D

•

Sep 11, 2021

Very good, worth every second !

By Aditya J

•

Mar 5, 2021

Excellent introduction to ML!!!

By Zhongfa L

•

Feb 14, 2021

Great refresher of undergrad LA

By kshitiz k

•

Jun 9, 2020

great course on Linear Algebra!

By Nurullokh N

•

Jun 7, 2020

Great course for linear algebra

By NIKHIL R

•

May 22, 2020

Good course.Easy to understand.

By Sumukh H

•

May 3, 2020

One of the best courses ever!!!

By Xinyi J

•

Jul 26, 2019

Clear and vividly! Recommend!!

By Toan L T

•

Sep 30, 2018

A great course in a good series

By YANG Y

•

Jul 14, 2023

Easily understand and funny!!!

By Mondher G

•

Apr 2, 2023

Great course, I learned a lot.

By Cheng G

•

Jun 3, 2021

This course is almost perfect.

By Sedka I

•

May 30, 2021

It is the best course I gut it

By Stevani D U

•

Mar 8, 2021

this course really challenging

By Christopher W

•

Aug 9, 2020

It was a stone groove, my man.

By Mrs. C G J J

•

May 16, 2020

different learning experience.

By Cesar C

•

Mar 31, 2020

Very professional and complete

By Styven G A

•

Sep 10, 2019

Muy bueno, se aprende mucho...

By Liam F

•

Mar 10, 2019

Very useful, thanks very much!

By Devbrat S

•

Aug 7, 2018

just one word " Knowledgesome"