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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

4.6
stars
12,549 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

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.

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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1826 - 1850 of 2,479 Reviews for Mathematics for Machine Learning: Linear Algebra

By Layyinatus S

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Feb 24, 2021

wow!

By Felix C

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Feb 23, 2021

good

By Merey O

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Dec 11, 2020

nice

By Yiya W

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Nov 30, 2020

good

By RAGHUVEER S D

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Jul 25, 2020

good

By Chow K M

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Jul 24, 2020

G

o

o

d

By Jay

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Jul 22, 2020

good

By moksha m

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Jul 16, 2020

good

By AKSHATHA Y E

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Jul 16, 2020

Good

By Bhoomika H

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Jul 15, 2020

good

By BALAJI.V

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Jul 13, 2020

Good

By RAMÍREZ S C A

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Jun 29, 2020

Nice

By Nalongsone D

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Jun 16, 2020

good

By Vinish R

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May 12, 2020

nice

By eli z

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Apr 12, 2020

epic

By Akhil V

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Jul 31, 2019

good

By Salem A A

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Jul 1, 2019

Good

By 宋健

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Mar 12, 2019

nice

By Yiqing W

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Dec 27, 2018

good

By Johnny B

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Nov 18, 2022

ook

By MD K A

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Jul 14, 2020

Osm

By 임모세

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Jun 3, 2024

bb

By Daniel R

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Aug 12, 2018

A+

By Deepak K A

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Jun 19, 2018

:)

By Joseph S

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Sep 27, 2021