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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
12,422 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 23, 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.

PL

Aug 26, 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.

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1476 - 1500 of 2,454 Reviews for Mathematics for Machine Learning: Linear Algebra

By YOUSSEF A

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Jul 9, 2020

I found what was promised

By Deleted A

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Jun 21, 2020

Excellent Course Overall!

By Karthik K

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May 18, 2020

Great practical Knowledge

By K A V

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May 11, 2020

Good course. Enjoyed it.

By Saurabh S

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Apr 28, 2020

Good course and teachers.

By TULANI G

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Feb 15, 2023

I enjoyed it through out

By khaled Z A H

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Dec 31, 2022

it is a must take course

By KUSAGRA A

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Apr 29, 2022

great informative course

By ANURADHA P

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Oct 28, 2020

Its a really good course

By Ms. N A A

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Sep 30, 2020

Great and useful content

By Abhilash J

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Aug 29, 2020

Great Overall Experience

By Changson O

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Dec 28, 2018

与国内的课程不同，教你从几何的角度理解线性代数。

By Pascal U E

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Sep 26, 2018

Great course, I loved it

By Amal K S

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Nov 26, 2020

Excellent course for ML

By Apurba G

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Aug 24, 2020

It was a great learning

By Subtain M

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Jun 27, 2020

Good value against time

By Mohamed B

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May 1, 2020

Great job thank so much

By Lei Z

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Apr 18, 2020

Very easy to understand

By shadab s

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Nov 14, 2019

A Must for ML enginners

By omid p s e

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Sep 27, 2019

IT'S BEST COURSE I HAVE

By gregorius a

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Feb 15, 2019

Very Good Math Lecture!

By Nitish K S

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Jul 14, 2018

short and informative !

By Loveleen G

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May 4, 2018

Good Course, Go for it.

By Amar

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Apr 18, 2018

best math course for ML

By Bassam S

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Nov 19, 2024

Lovely way of teaching