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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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1901 - 1925 of 2,363 Reviews for Mathematics for Machine Learning: Linear Algebra

By JAY C

Jun 30, 2019

I think the concepts are explained clearly, with ample examples to real life. Much easier to understand this time around. The coding labs could use more pointers though.

By Victor D

Jul 14, 2020

it is quite intuitive, the programing tools are easy to use. I think its perfect for those people who have some math background but don't want to go deeper into theory

By Jaumir V D S J

Mar 17, 2019

The course by no means replace a full semester course on linear algebra, but it´s useful for those who had already had a course on L.A. years ago and want a refresher.

By David G R A

Mar 4, 2021

All the lectures were great, and pretty straightforward, but, some programming assestments were too dificult and not so useful in order to help to grasp the concepts.

By João M G

Jul 28, 2019

The course is a good review of linear algebra for machine learning. But It would have been better if there were more code exercises and if they were more challenging.

By Artur B

Sep 29, 2018

Brushes over a lot of relevant topics, but if you want something more in-depth, definitely take something on Khan Academy, or your local university/community college.

By Caroline S G

Jan 12, 2022

The video instruction was great but the assignments were difficult to understand given the instruction. Also, the python often failed due to unrecognized routines.

By Scott A

Apr 22, 2018

Excellent introduction to linear algebra fundamentals, even with little/no prior exposure. Familiarity with programming concepts makes later exercises much easier.

By Nikhil K

Apr 22, 2020

It is a good course for beginners and to revise the concept. I feel the lack of explanation in some concepts which could have been avoided by providing references.

By Karthik

Apr 19, 2018

Short and fast crash course for brushing up linear algebra. Its better to take Khan academy tutorials and then start this to finish fast and understand the logics.

By Emirhan A

Mar 17, 2024

It was a great hands-on experience with Linear Algebra but sometimes parts of the course got difficult, I couldn't get any of the tips given by the professionals.

By Mazhar A

Nov 29, 2021

Found this course very interesting, as it has good concepts regarding use of applied mathematics in machine learning. Looking forward for more interesting courses

By Mohit P

Apr 18, 2020

the course is good, there should be more detailed explanation of the topic, the assignments are good and keep our learning at top notch. Thank you so much team.

By Shader

Oct 13, 2018

Some material not covered well enough to pass and I am a pretty proficient student. Some material seems a little out of place with the progression of the course

By HARISH A

Dec 22, 2018

Gives a good intro to some of the basic linear algebra - however would have been happier to see more details in the handling of eigen vectors and eigen values.

By NGUYEN B D T

Feb 16, 2021

A good summation of Linear Algebra. This course did give an insight into what matrix is, space, and how to apply transformation in a way that is the easiest.

By Sagar L

Feb 15, 2020

The course is pretty helpful as a recap for linear algebra and has nice explanations to set up your intuition for the core mathematical concepts of the field

By Saarthak K

Jan 25, 2023

the first four weeks were so good and intuitive. But I was left in confusion for most part of week 5 and had to take help of other sources (khanacademy,etc)

By Abhradeep M

Aug 24, 2022

Supplemental materials in the form of examples or bullet points with the core algorithm/concept on the topics would be helpful to grasp the material quicker

By Andy T

Aug 22, 2020

This was a great course, however you should expect to have some foundation in linear algebra to begin with and use this as a supplement to your knowledge

By Achal C

May 19, 2020

Great course !! though not it deals everything in depth or covers wider topics it definitely helps with the basics and introduces well to the subject ...

By Haris F

Mar 18, 2021

I am very excited to pass this course. The explanation very great but it very hard to achive this certificate in a week. But alhamdulillah i can do it.

By Avery W

Nov 4, 2019

This is a great course, but some of the quizzes are quite difficult. If there were more explanation on the quizzes, this course would be just perfect!

By Richard E F

Aug 25, 2020

An intersting course. It was let down by the fact that there was no involvement by the staff in answering students questions as far as I could see.