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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
12,457 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

NS

Dec 22, 2018

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

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.

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1676 - 1700 of 2,459 Reviews for Mathematics for Machine Learning: Linear Algebra

By Xếp T T

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Jul 14, 2022

Good Course

By Roger E

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May 3, 2022

great job!

By Bintang F E

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Mar 12, 2021

mantap jiwa

By Muhammad T R T P

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Mar 12, 2021

Nice course

By Mellania P S

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Feb 26, 2021

Amazing !!!

By Muhammad T

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Feb 23, 2021

good course

By Borhan U A

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Nov 18, 2020

It's great.

By Marcus H

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Sep 14, 2020

Nice course

By Mohit G

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Sep 5, 2020

Good Course

By Kartik S S

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Sep 4, 2020

Best Course

By NAKKA L P

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May 26, 2020

BEST COURSE

By tan c

•

May 7, 2020

Very useful

By ‍정희석[ 대 / 컴 ]

•

Jan 8, 2020

Nice Course

By Mohamed B

•

Nov 30, 2019

Very useful

By Muhammad Z H

•

Sep 7, 2019

learnt alot

By Lintao D

•

Aug 26, 2019

Good course

By Rodrigo F

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Jun 23, 2019

Excellent!!

By Parag B

•

Oct 8, 2018

Excellent!!

By Mrinal G

•

Oct 1, 2018

nice course

By Le N P

•

Jul 11, 2018

many thanks

By Christopher H

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Mar 31, 2018

Great intro

By Xu P

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Sep 19, 2024

Very nice.

By YUCHEN O

•

May 1, 2023

Very good!

By João G M

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Dec 9, 2021

Maginific.

By 현찬수

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May 16, 2021

Thank you.