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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
12,232 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.

EC

Sep 9, 2019

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

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1176 - 1200 of 2,429 Reviews for Mathematics for Machine Learning: Linear Algebra

By Martin B

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Sep 22, 2018

Very good. Excellent inroduction and highly accessible!

By Kannan S

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Apr 11, 2018

Concepts are clearly explained with numerical examples.

By ian f

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Nov 8, 2024

It was a great course indeed and learned a lot from it

By Benjamin X Z

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Sep 12, 2021

Coding exercises should be a little more challenging.

By Kushagra A

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Jun 16, 2021

Loved the course.Amongst the best courses i have taken

By Dan C

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Nov 18, 2020

It is a good introduction in math for machine learning

By Mohammed R

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Sep 7, 2020

The course is so helpful & the instructors are amazing

By Karthick P

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Jun 29, 2020

Excellent Courses, Great refresher of Linear Algebra!!

By SHIVAJI C M 1

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Jun 2, 2020

This Course is very informative and helped me a lot !!

By TOORPU A R

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Apr 26, 2020

Excellent course for linear algebra.faculty is so good

By Hanuman M G

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Apr 11, 2020

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linear algebra good start for machine learning

By Sumit S

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Jan 2, 2020

Awesome Course i will definately recommend my friends

By Alok R S

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Dec 3, 2019

Lectures speed is fast. But lectures are just awesome.

By Mohammed A

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Aug 26, 2019

A really wonderful courses that helped my in my career

By Yashasva P

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Jun 8, 2019

The course content was really helpful and interesting.

By Niu K

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Dec 24, 2018

Excellent course which provides a new viewpoint for ML

By Geoffrey B

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Oct 30, 2021

Excellent refresh of linear algebra in context of ML.

By Kushagra S

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Feb 16, 2021

Great for beginners to refresh their elementary maths

By Levent G

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Nov 4, 2020

This course was quite informative. Thank you so much.

By Rafael M

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Sep 2, 2020

Great experience learning from Imperial and coursera.

By Kendre P P e

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Jul 12, 2020

Really good understanding about vectors and there use

By Mariam M

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May 8, 2020

Very good, very challenging and satisfying all in all

By Abdulkadir H

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Sep 5, 2019

1 step closer to becoming a machine learning engineer

By Gnanesh B

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Jun 9, 2018

changing the basis and reflecting plane helped me lot

By Sanjana

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Dec 21, 2022

It was awesome experience while learning this course