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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
12,157 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.

EC

Sep 9, 2019

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

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1051 - 1075 of 2,412 Reviews for Mathematics for Machine Learning: Linear Algebra

By THIRUPATHI T

May 19, 2020

This is an excellent course, I recommend this for every mathematician.

By Deleted A

Jan 19, 2020

Highly recommended for anyone who is starting out in Machine Learning.

By Vishesh K

Dec 9, 2019

I read the linear algebra in my first year but I understand it now....

By Pierre P

Jan 19, 2019

Great teacher, great course, easy to understand but still challenging.

By Sugir T

Mar 18, 2022

This course was very interesting and I really enjoyed it. Thank you.

By Alireza K

Jun 29, 2021

I really enjoyed the way the both instructors explained in all videos

By Kaustubh S

Nov 18, 2020

The best thing about this course is intuitive explanation of concepts

By Alireza A

Aug 13, 2020

it was really good and helpful. bright lecturers and amazing contents

By Gustavo S S

Aug 5, 2020

Excelente curso! Se aprenden cuestiones de mucho interés y relevancia

By Divesh K

Nov 9, 2019

Outstanding course, great teachers and beautiful visualisation tools.

By Zecheng W

Sep 14, 2019

Awesome course. Could be improved by having more guidance on homework

By Anthony S

Sep 14, 2019

Great course and taught me insight into why linear algebra is useful!

By Cristiana G G

Jul 14, 2019

Great course, with amazing intuitions and nice programming exercises.

By Chokdee S

Jul 14, 2019

It's a great course for studying Algebra especially vector and metric

By RAVITEJA A

Aug 30, 2018

The intuitive way of teaching the subject is simply awesome.Good job.

By VAIDYANATH H

Aug 12, 2018

The course was very well taught and went on smoothly with no pressure

By Dominik

May 3, 2022

Really great course, one of most engaging courses I've seen online!

By Thomas G

Mar 15, 2022

Good introduction into applied Linear Algebra for machine learning.

By Ferdinand W

Feb 27, 2021

A bit hard, maybe you all can use more simple explanation.

Thank you

By Enrique F

Jan 2, 2021

The best mathematics course for machine learning. Super recommended.

By Jayanth M

Dec 2, 2020

very good startup for learning machine learning . A must have course

By Osama K

Oct 17, 2020

Very nice, important and enjoyable course.

You will never feel bored.

By Tiago V

Jun 26, 2020

Great course to see the applications of linear algebra in real-life.

By Osama K

Jun 5, 2020

Great value and quiet enough as linear algebra basic material for ML

By Shobhit S

May 5, 2020

Very well explanation by experienced teachers. Enjoyed whole course.