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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
12,533 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

PL

Aug 25, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

DV

Jun 24, 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 2,477 Reviews for Mathematics for Machine Learning: Linear Algebra

By Warren O

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Apr 15, 2020

Great course. Great challenges. Completely worth it.

By UMAR T

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Mar 7, 2020

Excellent course covering concepts of linear algebra

By Yunkai C

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Sep 27, 2019

very nice course, highly useful for my future study!

By Vikas C

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May 12, 2019

Good for basic understanding, Assignments are fine.

By Prasanna K

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Mar 31, 2018

very intuitive, must have of clear description of LA

By Ed P

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Jul 22, 2024

I began with zero linear algebra and learned a ton.

By Darshan B

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Jun 6, 2023

Got a clear idea and a base of the machine learning

By Shreyas G

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Sep 4, 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 14, 2020

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

By Faustine d

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May 12, 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 11, 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.