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
12,186 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

HE

Aug 8, 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

NS

Dec 22, 2018

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

Filter by:

2151 - 2175 of 2,416 Reviews for Mathematics for Machine Learning: Linear Algebra

By Rahul S

•

Jun 21, 2020

like a building blocks for one step forward into AI

By Aniruddhan P N

•

May 29, 2020

Excellent Introduction to the concepts, Thank you!

By adam m

•

Feb 12, 2019

reasonably well constructed and presented material

By Amr M

•

May 30, 2024

it's really great, but it's a bit hard to follow.

By Abhishek J

•

Apr 19, 2020

Good Course, Best Videos, Excellent Understanding

By manish c

•

Apr 16, 2020

well made course for machine learning foundation

By Tasfiq R

•

Jun 29, 2020

Great course.Animation can be addes for pagerank

By Kasidit ( R

•

Mar 21, 2019

Great way to build foundation in Linear Algebra

By Jay S

•

Jul 27, 2020

Fast paced interesting course. Lots to learn!

By Uri M

•

Sep 29, 2020

Pretty nice hands on linear algebra course

By 何霄

•

Feb 23, 2020

clearly explain all the key concepts in la

By Ratnakar M

•

Jun 1, 2018

Very engaging course and right on spot!!!

By Andres O

•

May 25, 2018

Very good linear algebra intro/refresher

By Paul M D C B

•

Nov 2, 2020

Too technical but relevant nonetheless

By Manikanta G

•

Aug 22, 2020

it's worth taking to revise the topics

By Richard P

•

Jul 15, 2020

Great knowledge at an affordable price

By Salah E

•

Jun 30, 2020

it is very hard course yet very useful

By Nirmala R

•

Jun 3, 2020

Week 5 was bit difficult to comprehend

By Ritwik M

•

May 17, 2020

Prof. Sam is a bit hard to understand.

By danthedoubleD

•

Feb 22, 2019

good stuff hopefully, i will be useful

By Annamma A

•

Nov 30, 2020

Help with programming should be given

By 龚华君

•

Jul 8, 2019

i don't know , just finish it so soon

By e u

•

Aug 9, 2020

a little bit hard for a beginner lol

By Kareem B

•

May 18, 2020

Veru useful Course in Linear Algebra

By Ariel E

•

Sep 10, 2020

All topics are taught very clearly!