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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
12,188 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

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

CS

Mar 31, 2018

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

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1301 - 1325 of 2,416 Reviews for Mathematics for Machine Learning: Linear Algebra

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 ­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.

By Dr G K

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Jun 7, 2020

Excellent course for budding researchers

By Aditya M

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May 4, 2020

Thanks to Prof. David Dye and Prof. Sam.

By Benjamin C

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Jan 14, 2020

Very good course, pedagogy is brilliant.

By Vaibhav A

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Aug 30, 2019

David Dye is awesome! A very good course