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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
12,556 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

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".

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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1201 - 1225 of 2,482 Reviews for Mathematics for Machine Learning: Linear Algebra

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 Abdul 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

By Ali K

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Oct 30, 2022

Interseting mthods for teaching math. Thanks a lot!

By John C B

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Jul 19, 2021

well presented material with nice, clean assignments

By Stephen A T

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Mar 11, 2021

Value for time and money

Thank you for this platform.