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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
12,232 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

PL

Aug 25, 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.

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.

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1151 - 1175 of 2,429 Reviews for Mathematics for Machine Learning: Linear Algebra

By Guillermo S A L

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Jun 20, 2021

Well explained course with multiple and useful exercises.

By Tobias H

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Mar 28, 2021

I really enjoyed this course! Thank you for preparing it.

By Mart A M

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Dec 1, 2020

I appreciate how the professors scaffolded their lessons.

By Juan C R

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Sep 13, 2020

This course is awesome. One of the best I've done so far.

By ISRAEL F G S

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Jul 31, 2020

Excellent content, challenging assignments, great course!

By Sagnik M

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Jul 25, 2020

The best course to take before starting Machine Learning.

By yogesh g

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Oct 30, 2019

very good course to grasp main concepts of linear algebra

By Andrew

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Mar 12, 2019

Excellent intro into Linear Algebra and Machine Learning.

By Rodrigo S Z

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Aug 24, 2018

great course. gave me lots of intuition of linear algebra

By Evgeny ( C

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Jul 25, 2018

Good balance between presentation and excellent exercises

By Ayush B

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Jul 24, 2018

The hands-on learning on web page ranking was insightful.

By Florin C

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Dec 10, 2022

Good content and clearly explained. I enjoyed all of it!

By Ni P E J

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Mar 19, 2022

awesome assigment test, modul, video, very easy to reach

By Suci A S

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Mar 8, 2021

Too easy to learn the modules and quizzes in the courses

By Dr B M - P

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Aug 8, 2020

Very interesting course. I enjoyed learning this course.

By Dean A P T S

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Jun 21, 2020

Excellent presentation, practice quizzes and assignments

By K P

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Jun 16, 2020

Exceptionally Good..With highly experienced instructors.

By Jinwoong K

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Nov 24, 2018

nice intro to the linear algebra world and relevant code

By Tra G

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Nov 8, 2018

Really good course, help me to understand linear algebra

By xiao f

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Apr 20, 2018

very good course for high level aspect of linear algebra

By Zhen Y

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Sep 19, 2022

Very enlightful and interesting. Recommend to everyone.

By Toshio S

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Jan 13, 2022

You would grasp linear algebra quickly and practically.

By S J

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Apr 29, 2020

Best way to start Machine Learning for Mathematicians!!

By Adel K

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Sep 8, 2019

just awesome. challenging at times but totally worth it

By Ricardo F

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Jun 10, 2019

The course is pretty good and both teachers are amazing