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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
11,954 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

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.

C

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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1076 - 1100 of 2,367 Reviews for Mathematics for Machine Learning: Linear Algebra

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!

By Sanjana T

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Dec 12, 2019

Must course to understand the maths behind machine learning.

By Joshua Z

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Jan 28, 2024

Learned more conceptually than a semester of Linear Algebra

By Sanele m

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Sep 7, 2020

Amazing course. I'll take it again, and again, and again :)

By greg m

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Feb 15, 2020

Very good all around. Good material for me. Good teaching

By Wesley C

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Oct 8, 2019

The instructor does a great job at explaining key concepts!

By Davide F

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Sep 12, 2019

It gives a great visual intuition on linear algebra topics.

By 潘超林

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Jul 8, 2019

讲的很好，就是因为语言问题有一些不理解，另外pagerank那个还没理解，但是快到期了，没办法，比较7天的试用期太短了

By ANKIT G

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Feb 10, 2019

Awesome way to quickly revise some linear algebra concepts.

By Tanuj J

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Jan 18, 2019

Informative and concise course. Good pace and explanations.

By Dong T

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Dec 15, 2018

Very practical and dynamic tutorial of linear algebra. thx.

By Febrian F A

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Mar 4, 2021

i become know about matriks and vektor in machine learning

By Anivilla S

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Jan 4, 2021

BEst course for refresh your foundations in linear algebra

By Yonathan C

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Dec 4, 2020

this is really intuitive course which makes me love maths.

By Manoj K

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Oct 7, 2020

best course to improve the concept behind machine learning

By John B

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Jun 28, 2020

Engaging and informative instruction, and a helpful forum.