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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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By 지홍근

Apr 2, 2021

good

By Alivia Z

Mar 18, 2021

good

By Habib B K

Mar 10, 2021

Nice

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Mar 10, 2021

nice

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Mar 1, 2021

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Feb 28, 2021

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Feb 26, 2021

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Feb 24, 2021

wow!

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Feb 23, 2021

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Dec 11, 2020

nice

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Nov 30, 2020

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By RAGHUVEER S D

Jul 25, 2020

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By Chow K M

Jul 24, 2020

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By Luke

Jul 22, 2020

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Jul 17, 2020

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Jul 16, 2020

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Jul 15, 2020

good

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Jul 13, 2020

Good

By RAMÍREZ S C A

Jun 29, 2020

Nice

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Jun 16, 2020

good

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May 12, 2020

nice

By eli z

Apr 12, 2020

epic

By Akhil V

Jul 31, 2019

good

By Salem A A

Jul 1, 2019

Good

By 宋健

Mar 12, 2019

nice