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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.

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2251 - 2275 of 2,366 Reviews for Mathematics for Machine Learning: Linear Algebra

By Almir B

Oct 15, 2020

The programming part is too confusing for someone that is just starting.

Thanks for the opportunity.

By Aniket D B

Aug 9, 2020

Everything is good. But I still don't have any idea about how I will use this in Machine learning.

By Alberto M

Apr 4, 2019

Good material if you want to refresh your knowledge, poor programming assignment support/feedback

By Ahmad A R

Oct 1, 2019

Repetitive/redundant questions in the assignment and minimal use of coding during the videos

By Carlos R T G R

Mar 18, 2019

The videos need to be updated, there are quite some errors that are already identified...

By Roberto V

Apr 12, 2021

Lack of feedback or more help from instructors to doubts, but the course is very good.

By rishabh t

May 5, 2020

Explainations was good but some topics was difficult to get may be due to my basics

By Adam R

Nov 16, 2018

Some of the quizzes go beyond what is in the videos and often spent ages on them.

By Nicholas K

Apr 20, 2018

Enough gaps that I finished feeling like I really had no idea what was going on.

By David R M

Jul 13, 2020

Requires an understanding of python that doesn't seem to be expressed anywhere

By Jose H C

Dec 19, 2019

I did not see any specific application of what was learned to Machine Learning

By Thomas K

May 4, 2022

Covered topics sup up useful framework that give robust starting point

By Tory M

Sep 3, 2020

All in all this course served as a good refresher for linear algebra.

By Gary M F T

Oct 29, 2020

Esta en el idioma inglés. Seria factibles en el idioma español

By Alejandro T R

Aug 2, 2020

Really difficult to understand the explanations of the course.

By Ayala A

Jul 25, 2020

The course is good but the explanations are not clear enough.

By Akshat B

May 19, 2023

The content is good, but the support could have been better.

By Ninder J

Jun 17, 2019

not well explained...Rather than this go for khan's academy

By rajiv k K

Jul 21, 2019

Good for rivision but I will not recommend to beginner.

By omri s

Oct 25, 2019

Good, but a lot of stuff is not explained in detail

By สิทธิพร แ

May 29, 2020

some lessons don't cover knowledge for assignment

By Flávio H P d O

May 11, 2018

explanation not very clear

not enought examples

By Rosana J B

Mar 1, 2021

muy confuso el sistema de envío de tareas

By Hiralal P

May 4, 2020

they should provide more examples

By Neha K

Oct 9, 2018

The style of teaching is great.