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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
11,956 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.

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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2301 - 2325 of 2,368 Reviews for Mathematics for Machine Learning: Linear Algebra

By Hayden R

Sep 3, 2020

This course does a poor job of teaching Linear Algebra, it skims through the topics and gives pretty difficult coding work with poor instruction. This course should only serve as a refresher, do not expect to learn much past the first 3 weeks.

By Niklas Z

Aug 19, 2021

It covers the basics, but frequently does not explain how it arrives at definitions or some steps in derivations. I spent a lot of time filling these gaps for myself using other (free) resources such as math stack exchange or Khan academy.

By Ekaterina E

Jun 5, 2023

Unfortunately I have to unenroll from this specialization. The learning videos are not helpful if you are indeed a beginner and therefore you have to google a lot. So going through this course brought me more frustration than joy.

By Patrick W

May 1, 2021

Not an intro course. Probably a better review course. I spent a lot of time on other web sites to get more background info to be able to do the problem sets. On the plus side, the instructors are very enthusiastic.

By Glenn

May 13, 2021

This course is not suitable for beginners. Topics are touch-and-go, and many LA concepts are assumed of the learner. I had to basically learn the content on YouTube and then come back to complete the assignments.

By Manoj B

Sep 12, 2020

Not a great course. It started alright but really it lost track after two weeks. No references were made to the actual ML applications. This was more like a pointless Matrix knowledge.

By Gurrapu N

Apr 5, 2020

There is hardly any relation between videos and assignments. There should be a way to let the students know the right answers after completing the course to rectify the mistakes.

By Shrinath I

Apr 12, 2020

It was a decent course, but the teachers weren't particularly good. I had to often rely on other resources to figure out what was going on. That kind of ruined it for me.

By Muhammad Z A

Jun 9, 2020

Not a Good Course for Biggner's. Instructor do not have ability to simply topics taught in this course. They were just copy pasting its materiel from other slides.

By kumar s

Sep 7, 2020

Instructor Taught good at the beginning till week 3, but not good after that. very disappointed. Will Never recommend any of my friend or classmate this course.

By Aswini R

Sep 11, 2020

i have not learned python so i am unable to do the assignments... the classes are too good to miss a certificate, but only if i could manage the assignment...

By Mathew S

Jun 23, 2021

Forums are a bit dead. Most helpful (and frequent) answers are a link to khan academy videos explaining the same thing, but better.

By Justina N

Aug 6, 2020

The final module went too fast and skipped over a lot of explanation. this really does under the good parts up to week four.

By Kevin H

Feb 12, 2022

I had to go outside this course to get and understanding of what they were talking about. This could greatly be imporved!

By Graham G

Mar 26, 2020

Not nearly enough detail on the concepts. I had to watch all of Khan Academy's Linear Algebra course to understand.

By Aly A A K

Sep 6, 2022

No notebook appears to me in the quizicss .no one helps me in the course in this problem

By Boyang H

Jun 13, 2022

I can get everything Quizzes and Tests right but I have no fucking idea what I am doing.

By Roy M K

Feb 3, 2021

There are few or no worked out examples, making it hard to solve quizes.

By Tri V Q

Jul 24, 2022

Many parts are too obscure such as the Page Rank part.

By Achal A

Aug 23, 2021

more reading content is needed

By Rishabh J

Feb 27, 2019

Not as challenging. Too basic

By Andrey L

Mar 23, 2021

Not for the beginner at all

By Yash G

Dec 14, 2019

not clearly explained

By Lee B

Jul 10, 2019

it is too expensive

By Sreeja D

Nov 27, 2020

Tough syllabus.