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Back to Mathematics for Machine Learning: Linear Algebra

Mathematics for Machine Learning: Linear Algebra, Imperial College London

4.6
2,183 ratings
382 reviews

About this 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

By PL

Aug 26, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

By NS

Dec 23, 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.

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384 Reviews

By Fridah G. Wambui Kariuki

Feb 21, 2019

The instructors were great and the length of the videos is bearable.

By Ajay Sharma

Feb 21, 2019

A great course to learn mathematics for machine learning . Learn a lot thanks for providing me financial aid for the course.

By

Feb 21, 2019

All I can say is WOW. This course was outstanding. I learned particularly well from the first (main) lecturer and loved the way he set up the problems graphically with different colors; I simply couldn't stop going through it and really walked away feeling like I understood these concepts much better. Quite excited to check out their other courses as well!

By

Feb 21, 2019

Great teacher!

By

Feb 20, 2019

The best linear algebra courses I ever learnt!

By muhamad rausyan fikri

Feb 20, 2019

easy to understand

By Bryan Stafford

Feb 19, 2019

A great introduction to linear algebra!

By Camilo Jara

Feb 18, 2019

Great class and wonderfull material. Focused on intuition and programming rather that minndlessly solving problems as a mechanical challenge.

By Andrew Khuhlin

Feb 17, 2019

great visual explanations of concepts, but the course could have been more informative

By Prashant Dabholkar

Feb 17, 2019

Good explanation. Some of the exercises and quizzes need a deeper understanding of the course content