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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
12,370 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

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.

GB

Aug 16, 2020

The instruction was good throughout, but I would urge fellow students to take the time to work through the problems as suggested. Also, the eigen- stuff is quite tricky and can fool you. Be careful.

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1351 - 1375 of 2,447 Reviews for Mathematics for Machine Learning: Linear Algebra

By Wenjuan C

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Oct 27, 2021

Absolutely a great investment of time!

By Thoriqul A

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Aug 31, 2020

nice course and very clear explanation

By Youzhang H

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Jun 9, 2020

I think the last week is too difficul.

By DR. P K

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May 24, 2020

Well designed and application oriented

By Gautham T

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Jun 15, 2019

programming assignment could be better

By dongyoungkim

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Mar 13, 2019

기초 선형대수 개념을 잡아가는데 아주 도움이 되었습니다. 감사합니다.

By Khalil z

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Feb 24, 2019

thank you very much for your pure work

By Ahmed H

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Jul 8, 2018

It's really a very interesting course.

By ankush k

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May 19, 2021

Descriptive and finely grained course

By Pete P

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Jan 24, 2021

Loved the focus on building intuition

By Rodrigo S

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Sep 16, 2020

Wonderful and challenging experience.

By Zhanat K

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Jul 18, 2020

Great Course! Thanks to all teachers!

By Vaishnavi A

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Jun 20, 2020

IT WAS A GREAT A GREAT COURSE OVERALL

By Muhammad S u

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May 29, 2020

Excellent refresher for core concepts

By Sai P

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May 13, 2020

Amazing course to dive into ml and dl

By Manish G

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Apr 23, 2019

Really good course. Nice instructors.

By Bishal L

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Sep 22, 2018

The course was concise but intuitive.

By Ashutosh P

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Jul 15, 2018

Great course to start ML preparation.

By Leon W

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Jun 8, 2021

highly recommended for this coourse!

By Enam B

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Feb 14, 2021

Very Informative and well explained.

By A. N M J

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Oct 13, 2020

Very good explanation. Thanks a lot.

By SUSHANTA K S

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Sep 1, 2020

excellent course. Thanks to coursera

By DEEP C

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Jul 17, 2020

amazing ones again and no words more

By Jyothula S K

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May 18, 2020

Excellent course to learn the Basics

By Joe E

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May 2, 2018

Great course with great instructors.