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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
12,447 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 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.

HE

Aug 8, 2021

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

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2201 - 2225 of 2,457 Reviews for Mathematics for Machine Learning: Linear Algebra

By Annamma A

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Nov 30, 2020

Help with programming should be given

By 龚华君

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Jul 8, 2019

i don't know , just finish it so soon

By e u

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Aug 9, 2020

a little bit hard for a beginner lol

By Kareem B

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May 18, 2020

Veru useful Course in Linear Algebra

By Ariel E

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Sep 10, 2020

All topics are taught very clearly!

By Aditya R

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Jul 22, 2018

Really it was a very nice course .

By Dalila

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Sep 6, 2020

Week 4 topics were a bit confusing

By SIMONOT M

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Mar 29, 2019

Clear and interesting. Thank you.

By Gagah G K

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Mar 9, 2021

A little bit hard to understand

By BULAND K P

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Nov 30, 2020

REALLY FUN AND EXCITING COURSE.

By Mayur S

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Aug 25, 2020

great recommended for everyone

By Idriss M

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Sep 23, 2019

great intro to linear algebra

By Yijie X

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Aug 13, 2018

greate course for beginners!

By Siddharth S

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May 21, 2020

Very intuitive and helpful.

By Samridha S

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Dec 7, 2022

Week 5 feels a bit rushed.

By Rishabh .

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Mar 1, 2020

Nice Content and lectures.

By rasheeq i

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Apr 19, 2019

Should go more in details.

By Pip C

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Jun 17, 2020

good high level overview.

By Ziad M H E

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Dec 10, 2022

this course is very good

By Yoni K

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Aug 27, 2021

More practice would help

By Priscilla V A

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Mar 1, 2021

Nice, easy to understand

By Enzo M

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Feb 26, 2020

quite complex but useful

By 田德宇

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Jun 23, 2019

no lectures, only videos

By AB

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Mar 3, 2019

Great to relax and learn

By Yap C Y

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Mar 14, 2021

Good explanations given