JS
5.0Reviewed Mar 5, 2019
Love this! Quality of the recording is impressive, content what exactly what I was looking for.
Mathematics for Machine Learning: Linear Algebra
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.
Status: Data Science
Status: Jupyter
BeginnerCourse19 hours
Featured reviews
CC
5.0Reviewed Jun 3, 2020
Give an excellent intuition about all the topics, great examples, I love the course
AP
4.0Reviewed Jan 19, 2021
Really intersting. Could be a bit difficult for people without mathematical background
JD
4.0Reviewed Sep 14, 2018
Good video & subtitles for non-english speaker, practical examples, good introduction to linear algebra
AA
5.0Reviewed Jul 31, 2019
Very interesting course. I realy enjoyed all the explanations, the geometrical hints on every concept introduced. Thanks à lot
PA
5.0Reviewed Jun 25, 2020
Whoa there's a lot things i learned ,especially The Eigen vector , and the lecturer is great enough explained the materials ,THANKS!!
AG
5.0Reviewed Jun 2, 2021
A clear and informative course that re-cindle my love for maths
NS
5.0Reviewed Jul 7, 2020
Great teaching and very nice materials. This course has been useful to freshen up linear algebra while keeping in mind data science applications, which was exactly what I was looking for
NN
5.0Reviewed May 13, 2019
I'm only at the beginning of the course but the material is really worth it.Great instructor. He makes himself very clear and easy to follow.
AS
4.0Reviewed Oct 5, 2019
Good overall, but i regret that the professor lacked deep understanding for some concepts, which made his explanations not clear by moments !
TR
5.0Reviewed Jul 29, 2018
I appreciated how teachers at Imperial London College showed practical aspects of linear algebra. I think it was a well condensed course.