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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
12,265 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

MG

May 30, 2020

A great course covering key aspects of Linear Algebra with the lecturers giving a good intuition about what's going on with the subjects.(PS. I loved the sense of humor of Prof.Dye it was really fun!)

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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1301 - 1325 of 2,432 Reviews for Mathematics for Machine Learning: Linear Algebra

By Opas S

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Jul 12, 2020

Great tutorial for refresh my mathematics.

By Rajkumar R

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Jun 4, 2020

I learnt new concepts and enjoyed learning

By Christopher H

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May 25, 2020

Great video production, clear and concise.

By Gen L

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Oct 28, 2019

Terrific! That is very easy to understand.

By taeha k

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Jul 23, 2019

Good for studying basics of linear algebra

By Veerapot K

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Jun 25, 2019

Very easy to understand, even for beginner

By Andrii S

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Oct 1, 2018

Good course to start learning math for ML.

By Quentin P

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Apr 23, 2018

Really nice introduction. Highly recommend

By Song Y

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Jun 28, 2023

A quick but nice review of linear algebra

By Kisara K

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Nov 20, 2022

Loved the hands-on python lab assignments

By Alain A

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Apr 30, 2022

Explanations on the videos are excellent.

By Biruk M

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Mar 16, 2022

it was amazing thanks for bright lecture

By JOANNE F

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Jan 24, 2022

This course was well designed and taught.

By Artur M

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Jul 20, 2020

Nice introduction course! Worth doing it.

By Megha S

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Jun 4, 2020

useful lectures for growing our knowledge

By Anand W

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May 11, 2020

one of the most amazing must have courses

By kota y s r

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Apr 23, 2020

thanks for explaing the things very clear

By S. C

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Feb 15, 2020

Excellent introduction to linear algebra!

By Шмаков А А

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Aug 18, 2019

Хороший курс, проходится на одном дыхании

By ASHISH S

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Apr 27, 2019

Excellent course ,i had been enjoy lots.

By A J

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Jul 2, 2018

Simply excellent and highly recommended !

By Wang Z

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Jun 30, 2018

Very challenging yet extremely beneficial

By Gerard C

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Dec 5, 2024

AMAZING FOR AN INTRO TO MACHINE LEARNING

By ­이상윤

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Feb 19, 2022

It was good for basics of linear algebra

By Arjun V

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Jul 21, 2020

Builds intuition. Prof. David Dye rocks.