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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".

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1226 - 1250 of 2,466 Reviews for Mathematics for Machine Learning: Linear Algebra

By Prasanna K

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Apr 1, 2018

very intuitive, must have of clear description of LA

By Ed P

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Jul 23, 2024

I began with zero linear algebra and learned a ton.

By Darshan B

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Jun 7, 2023

Got a clear idea and a base of the machine learning

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 18, 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 19, 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 31, 2018

Nice mix of video lectures and practice exercises.

By Rajib M

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Jun 15, 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 5, 2020

Excelent quality of videos and good explanations.

By Moises G

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Jul 14, 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 15, 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