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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
12,157 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

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.

NS

Dec 22, 2018

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

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1726 - 1750 of 2,412 Reviews for Mathematics for Machine Learning: Linear Algebra

By Isaac M M

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Jul 24, 2020

Excelent

By Yoshiaki K

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Jun 9, 2020

Awesome!

By MOHAMMED F R

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May 29, 2020

its good

By Deleted A

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Jan 26, 2020

Perfect!

By Xiaxin

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Oct 5, 2019

可以听得懂的课程

By Insyiraah O A

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Mar 21, 2022

mantaps

By Seyed R M N

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Feb 6, 2022

perfecy

By Ting C

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May 6, 2021

awesome

By 郭书含

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Mar 28, 2021

深入浅出非常好

By Levina A

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Mar 7, 2021

So cool

By Indria A

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Feb 27, 2021

awesome

By Binulal N

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Dec 19, 2020

Awsome!

By Aniruddh M

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Sep 9, 2020

Superb!

By Борис Г

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Jun 1, 2020

Amazing

By latheesh K

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May 12, 2020

Awesome

By Artem V

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May 3, 2020

exelent

By Aditya S

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Dec 6, 2019

awesome

By Bhavya G

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Jul 20, 2019

Amazing

By Sheikh N I

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Jul 2, 2018

Thanks!

By Julio M

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Sep 23, 2024

Great!

By Indriana N

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Mar 22, 2023

Amzing

By RAHMITA D K

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Mar 17, 2023

Mantep

By Hoang D

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Dec 27, 2021

useful

By mochammad g r

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Mar 3, 2021

Thanks

By 龚古铮

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Feb 2, 2021

Great!