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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
12,157 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

CS

Mar 31, 2018

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

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.

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2001 - 2025 of 2,412 Reviews for Mathematics for Machine Learning: Linear Algebra

By Mohamed B

Aug 27, 2019

The concepts are explained clearly, but someone who has already done some machine learning before might find some parts unchallenging

By Aditya J

Mar 16, 2020

Overall great. But can get tough to follow at times and feel that more and in-depth explanation would be required at certain places.

By Cirus I

Aug 27, 2018

A fun way to review Linear Algebra basics focused on its applications on Machine Learning.

Good structure, nice pace, solid content.

By Gurbaaz S G

May 13, 2021

The course was informative and helpful. it helped me bring back concepts that I had forgot and also taught me a bit about python.

By Alex W

Jul 8, 2019

Basic knowledge about machine learning, but very useful, maybe this course should be tagged as higher level, instead of beginner.

By Valeria

Jun 26, 2018

I really enjoyed how much graphical explanation there was here. It finally starts making sense why we use matrices and vectors.

By Mobarak H S

Apr 13, 2020

The quiz challenge was good for me to better understand this course. And the length of video enough short to not to feel bore.

By Ahmad A A D

Nov 11, 2020

this course is good for giving introduction, but for depth understanding you should accompany with another resource materials

By Joanna M

Apr 6, 2021

Great course, but there are some bugs in automatic assignment grading, and the instructors are not responsive on the forums.

By Sherina M

Mar 11, 2021

The difficulty of the problem in the quiz and the example in the video is too far, the problem in the quiz is so much harder

By Jayaram O

Jun 14, 2020

Important concepts of Linear Algebra for ML explained in a beautiful multi-dimensional method including theory and practice.

By James K

Aug 8, 2024

This is a good course to brush up on Linear Algebra. Can be challenging in parts but overall the content is well explained.

By Dharv P

Jul 22, 2020

Very Good Course, You will learn linear algebra in this course and most loved part of course for me is pagerank assignment.

By Peter S

Oct 8, 2020

A good course with some significant leaps in competence required for those of us with a social science/business background

By Kartikeya S

Jun 2, 2020

Course was nice,but if you provide more example of real world usage of Linear Algebra in Machine Learning it would be nice

By Rahul B

Apr 22, 2020

This was course made my intuition for underlying mathematics when using machine learning much more stronger and efficient.

By Muhammad E

Aug 8, 2020

the course is a bit challenging i would recommend that you better get yourself familiar with basic linear algebra first

By Sudhir N

May 31, 2019

Good refresher for basic concepts learnt in the University ages ago. WOuld like to have more real life Business examples

By jiang y

Aug 15, 2020

this is a very nice and useful lesson.

but sometime I need to search for more knowledge to help me finished my home work

By Dhruv A

Jul 31, 2020

Brilliantly conducted. Provides a great introduction to linear algebra allowing the learner to start diving in further.

By Daniel T

Jun 18, 2019

It would be better if it had lecture notes. Reviewing the material and writing it down requires rewatching the lectures

By Robert S

Aug 18, 2018

The linear algebra was taught in an easy to understand manor but the applications in machine learning were quite sparse

By Marcos G A

Jul 7, 2020

Should share additional videos (like links to khan academy if the student needs to learn more or wants to get deeper).

By Weiyu G

Aug 12, 2019

It is really intuitive and good for people who have little idea of Linear Algebra. The best part is the PageRank Algo.

By James H

May 24, 2018

Programming assignments failed to save and submit sometimes. But the course itself was well taught and at a good pace