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
11,947 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

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.

C

Mar 31, 2018

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

Filter by:

1276 - 1300 of 2,366 Reviews for Mathematics for Machine Learning: Linear Algebra

By Wang Z

•

Jun 30, 2018

Very challenging yet extremely beneficial

By ­이상윤

•

Feb 19, 2022

It was good for basics of linear algebra

By Arjun V

•

Jul 21, 2020

Builds intuition. Prof. David Dye rocks.

By Dr G K

•

Jun 7, 2020

Excellent course for budding researchers

By Aditya M

•

May 4, 2020

Thanks to Prof. David Dye and Prof. Sam.

By Benjamin C

•

Jan 14, 2020

Very good course, pedagogy is brilliant.

By Vaibhav A

•

Aug 30, 2019

David Dye is awesome! A very good course

By Musharraf H

•

Dec 22, 2023

much more informative with advancement.

By Phonphrm T

•

Jul 7, 2021

This is really good course :D love it!

By Thomas C

•

Apr 18, 2021

Très bon cours et très bon professeurs!

By Prashant B

•

Aug 10, 2020

very intuitive course on linear algebra

By voonna s k

•

Aug 1, 2020

Very good course.Very good instructors.

By Tumun S

•

Jul 29, 2020

Best learning course for linear algebra

By Ivan N

•

Apr 6, 2020

Nice exaples! Thank you for the course!

By Pooja

•

Mar 18, 2020

Amazing Teaching and syllabus scheduled

By Bryan S

•

Feb 19, 2019

A great introduction to linear algebra!

By Taras S

•

Jul 26, 2018

One of the best Linear Algebra courses!

By Xiaoyuan C

•

May 21, 2018

Super interesting and impressive course

By Shrirang A

•

Feb 8, 2023

Better than the other courses. Must do

By Andrew M

•

Dec 28, 2022

Awesome Course but need to more Simple

By Duc H B

•

Dec 8, 2021

It help me to rebuild my math.Great!!!

By Wenjuan C

•

Oct 27, 2021

Absolutely a great investment of time!

By Thoriqul A

•

Aug 31, 2020

nice course and very clear explanation

By Youzhang H

•

Jun 9, 2020

I think the last week is too difficul.

By DR. P K

•

May 24, 2020

Well designed and application oriented