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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
12,413 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

GB

Aug 17, 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.

CS

Apr 1, 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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1351 - 1375 of 2,454 Reviews for Mathematics for Machine Learning: Linear Algebra

By Taras S

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Jul 26, 2018

One of the best Linear Algebra courses!

By Xiaoyuan C

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May 21, 2018

Super interesting and impressive course

By Shrirang A

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Feb 8, 2023

Better than the other courses. Must do

By Andrew M

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Dec 28, 2022

Awesome Course but need to more Simple

By Duc H B

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Dec 9, 2021

It help me to rebuild my math.Great!!!

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 16, 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 20, 2021

Descriptive and finely grained course

By Pete P

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Jan 25, 2021

Loved the focus on building intuition

By Rodrigo S

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Sep 17, 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 16, 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.