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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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1101 - 1125 of 2,428 Reviews for Mathematics for Machine Learning: Linear Algebra

By Akshay K

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Feb 12, 2020

Best course to start off with for people stepping into ML field.

By Ravindu T

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Oct 3, 2019

The course is very informative and really interesting to listen.

By Avi M

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Aug 14, 2019

Good for developing linear algebra intuition and helps visualize

By Alexey Q

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Sep 9, 2024

Very helpful for improving my understanding of machine learning

By Eduardo Z R

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Jan 29, 2022

Nice and complete course with the essential knowledge to apply.

By Alexandre G

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Jun 3, 2021

A clear and informative course that re-cindle my love for maths

By premjeet p

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Aug 10, 2020

Excellent amount of knowledge presented in a simpler visual way

By 李赞

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Apr 3, 2020

it's quiet short but contains most of the important imformation

By Wenwen L

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Aug 20, 2019

Hope this module can covers more about dimension reduction etc.

By Hao G

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Jan 27, 2021

Very good course materials, but the marking system is annoying

By Ashok M

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Aug 12, 2020

Must watched Course for Machine learning and all Mathematician

By Vikas K P

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Jun 29, 2020

good course to understand the mathematics for machine learning

By Danielius K

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May 23, 2018

An amazing introduction to a crucial part of machine learning!

By AP P

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Jul 24, 2023

Very good for beginners interested in artificial intelligence

By Bob K

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May 17, 2021

Provides excellent intuitions + how to compute. Recommended!

By Ezequiel P

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Sep 19, 2020

Great course for understanding the algebraic way of thinking.

By Muthamizh S N

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Jul 13, 2020

This course helped me to understand the concepts intuitively.

By John K B

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Jun 27, 2020

I had fun learning basis, change of basis and transformation.

By Ankit M

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Jun 13, 2020

Excellent modules to revise concepts and practice application

By 許柚甄

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Apr 11, 2020

good course to understand the fundamentals of linear algebra.

By vipin t

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Sep 9, 2019

Great course for beginners who want to learn machine learning

By Akash G

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Mar 19, 2019

Mathematics for Machine Learning: Linear Algebra ... REVISED

By Badie T

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Jul 31, 2022

Very interesting personalities. Very funny team. Thank you:D

By Jose G G M

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Feb 16, 2021

Very good introduction about matrix applied to data analysis

By Haoyan L

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Dec 26, 2020

Helpful. It is very useful and suitable for the new learner!