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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
11,930 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

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.

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.

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526 - 550 of 2,363 Reviews for Mathematics for Machine Learning: Linear Algebra

By Nikhil J

Apr 27, 2020

Great intuition building. Absolutely enjoyed the course. I'm still a little bit behind getting the entire intuition, will come back and get it done. Love it!

By VIJAY N

Mar 31, 2020

Great Course to provide a better perspective to mathematics needed for machine learning. Really enjoyed the course and looking forward for more such courses.

By Kyle W

Dec 6, 2018

Excellent course. It's very practical - focuses on building your intuition of core concepts and applying those concepts through simple programming exercises.

By Sonia .

Sep 11, 2022

Amazing course for building intuition for Linear Algebra. I also liked the fact that only included the parts of Linear Algebra relevant to Machine Learning

By Gurunath G

Jul 8, 2020

Good course. Clears a lot of basics. It gave a different perspective of Matrices and transformations which I did not have earlier. Overall very good course.

By Anastasios P

Dec 22, 2019

Great course to get introductory knowledge and good foundation on linear algebra, especially Eigenvalues and Eigenvectors and some basic python programming.

By Flora

Jul 30, 2019

This course is amazing. Week 5 quiz is tricky but all the others are fine. The course might take longer than expected to complete but it's totally worth it.

By Joshua M O

Jul 7, 2023

An excellent introduction to Linear Algebra. Clear, concise videos; the assignments are well designed; the quizzes help re-enforce the material. Well done.

By Sujeet B

Jun 19, 2019

Very good; contents covered gives an intuition of what's happening beneath the Mathematics. The lectures are interactive (which keeps your brain working).

By Biplab B

May 27, 2020

A very informative course that is focused on understanding the concepts of linear algebra and its applications rather than on solving numerical problems.

By Adelis N

May 11, 2020

The way this course is structured gives me confidence in myself and allows me to have a better exposure time towards the content. Fantastic way to learn!

By Jia G

Nov 5, 2019

The programming assignments are very well-designed. They are easily to follow and give me confidence to use Python deal with complex mathematic problems.

By Serge K

Nov 25, 2018

I love the stuff that I learned: the usefulness of eigenvalues and eigenvectors, coding pagerank algorithm, gram Schmidt to create orthonormal basis, ...

By Lee F

Sep 7, 2018

Enjoyed the course a lot! It stretched me at times, and I definitely got what I needed and know where to go to fill in any knowledge gaps in the future.

By Khaled A

Oct 3, 2020

If you are new to Machine Learning and mediocre in Mathematics (even though you studied this topic before), then this course is the right place for you!

By Tamanna U

Aug 11, 2020

Over the years, I have learned linear algebra from several sources but this by far enagaged me the most and taught me the intuition more than any other.

By Sumit N

Aug 1, 2020

Wonderful course, highly recommended for everyone who is trying to learn AI/ML/Data Science. Specially for someone who want to brush up their knowledge.

By Bohdan K

Jul 20, 2020

The course was really good! If programming is better learned through books, math is better learned from courses where you can visually see all concepts.

By SANDEEP K D

Nov 8, 2019

A new way of looking at eigen values and vectors, every engineer should do this course.

It will help developing strong fundamentals for machine learning.

By Wookjae M

May 2, 2019

It was a "neat" lecture for understanding the basic of linear algebra. Programming assignments and test were well designed. Thank you for the lecturers.

By Iryna B

Oct 23, 2022

Really liked this course! The concepts of LA are described in a simple and intuitive way. Big thanks to the professors and the course's creation team!

By Gabriela S

Nov 3, 2019

Great approach, teaching the intuition of mathematics, this is exactly what I was looking for! Thank you to the amazing instructors for the fun course!

By 채영

Apr 21, 2022

I love this course. The professors teach Linear Algebra easily enough for me as a beginner to understand it. I'm willing to take more courses of them.

By Nuria C

Nov 3, 2020

Really well explained. I wish I had got such a professor when I learn these concepts in the highschool :) Lot's of examples and exercises to practice.

By Gupta, N - N

Apr 29, 2021

Really good introductory course for linear algebra, specially for people who found it difficult during university and now looking to revise it for ML