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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
12,286 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.

MG

May 30, 2020

A great course covering key aspects of Linear Algebra with the lecturers giving a good intuition about what's going on with the subjects.(PS. I loved the sense of humor of Prof.Dye it was really fun!)

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2176 - 2200 of 2,433 Reviews for Mathematics for Machine Learning: Linear Algebra

By Manikanta G

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Aug 22, 2020

it's worth taking to revise the topics

By Richard P

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Jul 15, 2020

Great knowledge at an affordable price

By Salah E

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Jun 30, 2020

it is very hard course yet very useful

By Nirmala R

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Jun 3, 2020

Week 5 was bit difficult to comprehend

By Ritwik M

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May 17, 2020

Prof. Sam is a bit hard to understand.

By danthedoubleD

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Feb 22, 2019

good stuff hopefully, i will be useful

By Annamma A

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Nov 29, 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 17, 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 C

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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

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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