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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
12,479 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

AS

Jul 12, 2019

It's a nice course but instructors should go in more details. It's mostly high school mathematics. I was expecting undergraduate level Linear Algebra. Otherwise it was a good learning experience.

DV

Jun 25, 2019

This was a terrific course; the instructors' are passionate and knowledgeable about the course material, the assignments are engaging and relevant, and the length of the videos feels "just right".

Filter by:

2201 - 2225 of 2,466 Reviews for Mathematics for Machine Learning: Linear Algebra

By Andres O

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May 26, 2018

Very good linear algebra intro/refresher

By Paul M D C B

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Nov 2, 2020

Too technical but relevant nonetheless

By Manikanta G

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Aug 23, 2020

it's worth taking to revise the topics

By Richard P

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Jul 16, 2020

Great knowledge at an affordable price

By Salah E

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Jul 1, 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 18, 2020

Prof. Sam is a bit hard to understand.

By danthedoubleD

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Feb 23, 2019

good stuff hopefully, i will be useful

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 11, 2020

All topics are taught very clearly!

By Aditya R

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Jul 23, 2018

Really it was a very nice course .

By Dalila

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Sep 7, 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 14, 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 20, 2019

Should go more in details.