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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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1226 - 1250 of 2,457 Reviews for Mathematics for Machine Learning: Linear Algebra

By Shreyas G

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Sep 5, 2021

One of the best math courses that I’ve done so far.

By Sanka M

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Sep 3, 2020

I recommend this to anyone who is interested in LA.

By Habibur R

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Jul 17, 2020

best course of linear algebra. just love the course

By Chirag R

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Jun 25, 2020

The faculty has explained the concepts very nicely.

By kable

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Jun 18, 2019

Wonderful course design! Helps me a lot. Thank you!

By shariq

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Sep 26, 2018

Its good course for anyone who has to build basics.

By Yevhen D

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Sep 9, 2018

Nice course. Good examples, programming assigments!

By Nawanjana H M

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Jan 27, 2021

good course unit for undergraduates of mathematics

By Samuel O

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Sep 15, 2020

This was just amazing. Thank you for all the work.

By Faustine d

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May 13, 2020

Interesting, and crisp course. Really enjoyed it !

By 任杰文

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Jan 8, 2019

It's clear and intuitive, especially the examples.

By Jonathas

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Dec 30, 2018

Nice mix of video lectures and practice exercises.

By Rajib M

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Jun 14, 2023

I've never enjoyed any math course like this one.

By Wien N D M

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Mar 8, 2021

this best course mathematics for machine learning

By J C

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Oct 11, 2020

Highly recommend if you memorized linear algebra.

By J N B P

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Aug 12, 2020

A good course for intermediates in Linear Algebra

By John R

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Aug 4, 2020

Excelent quality of videos and good explanations.

By Moises G

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Jul 13, 2019

Excelent, I reinforced what I previously learned.

By Maciej K

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May 15, 2018

great course, gives clear info on linear algebra.

By arnaud j

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May 12, 2018

Nice introduction or freshener on linear algebra.

By Fernando P

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Apr 14, 2021

It's very helpful Thank you for your great work!

By Divyansh K

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Oct 3, 2020

The best mathematics course for machine learning

By Sayed J A S A A S

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Sep 9, 2020

This course is very informative for the beginner

By Manas K P

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Aug 25, 2020

Excellent content from the Imperial team. Thanks

By Pinto B D

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Aug 23, 2020

Excellent to understand basics of Linear algebra