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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
12,425 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

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.

MG

May 30, 2020

A great course covering key aspects of Linear Algebra with the lecturers giving a good intuition about what's going on with the subjects.(PS. I loved the sense of humor of Prof.Dye it was really fun!)

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1001 - 1025 of 2,454 Reviews for Mathematics for Machine Learning: Linear Algebra

By Ahmed S H M

Apr 22, 2020

Thanks Coursera and Imperial for the awesome instructors, material and content

By Anand K

Apr 17, 2020

damn good! i love David Dye and sam cooper teaching approach and explanations!!

By Ibon U E

Nov 13, 2019

Excellent contents, explanations and practice quiz and programming assignments!

By Ashish P

Jul 24, 2019

Nice to learn math for machine learning and it's nicely design course for that.

By Miguel O L

May 24, 2025

Professors are excellent, though I acknowledge that the course are challenging

By Kristi L

Oct 31, 2023

amazingly taught, engaging lectures and encouragingly designed assignments :-)

By Jose G

Aug 3, 2020

This course is amazing. The concepts are difficult but the effort is worth it.

By HyunGeun L

Jun 24, 2020

It gives me eyes to see everything in the world can explain by linear algebra!

By Miguel C

Jun 23, 2020

Excellent course on linear algebra to obtain (or refresh) some basic concepts.

By Viona Q

Feb 29, 2020

Excellent course. Loved the application of mathematics to real world problems.

By Patrick S

Feb 6, 2020

Very good explanation of the geometrical background of matrix transformations,

By Juan C

Jan 16, 2020

Excellent course. The two lectures are very very good. Very clear explanations

By Advait S

Jun 1, 2019

great course for an intro to linear algebra....thanks Imperial College London!

By Silas S K

May 1, 2019

Loved the course. Has plenty of practice quizzes and challenging problem sets.

By ANIKET C

Jul 6, 2021

A course that should be taken before diving deep into AI and Machine Learning

By Atwin P

Feb 16, 2021

Well explained. The practice and the quizzes were nothing short of brilliant.

By Fabian R H

Jul 31, 2020

Excellent course very detailed and have great tools to visualize the problems

By Martin S

Apr 28, 2020

Makes clear what they teach and teaches it beautifully. Will never get bored.

By George C

Jul 7, 2018

Excellent course -- very good lectures and a useful introduction to the topic

By Saverio P

Jul 22, 2025

An excellent refresher on linear algebra; the instructors were really great.

By E14001046莊凱翔

Apr 23, 2021

It is the best way to introduce the topic of eigenvector ever!

Pretty clear !

By Dheeraj H J

Jun 12, 2020

Very good course that develops an intuitive understanding of Linear Algebra.

By Aishik R

Jan 5, 2020

Great Course for development of intuition on Linear algebra, quite engaging.

By Pham M Q

Oct 18, 2019

Good course in Linear Algebra, the examples are related contents with codes.

By Badoo Z R

May 5, 2019

Clear concise course. Good assignments, that challenges your thought process