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Back to Mathematics for Machine Learning: Linear Algebra

stars

11,475 ratings

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....

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.

HE

Aug 8, 2021

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

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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.

By Ali E

•Jun 4, 2020

Its such an amazing course that refreshed me quite well. It only needs some solved problems to get used to the way of solving for more applying.

By Rahul K

•May 25, 2020

Course is very well taught and the focus on intuition is super useful. It would be nice to get into advanced topics after the intuition is built

By Alexander V

•Mar 10, 2018

Excellent course. Lots of practical examples. Explanations are clear. I would suggest adding a summary of the lectures in form of some document.

By Roderick R

•May 2, 2018

Good course on reviewing linear algebra fundamentals. I greatly appreciated the instructors' teaching styles and made the material practical.

By MAMOON A

•Apr 30, 2020

The course helps in understanding the linear algebra in all aspects i.e algebraic as well as graphical and finally implementing it in a code.

By ACHRAF S

•Oct 6, 2019

Good overall, but i regret that the professor lacked deep understanding for some concepts, which made his explanations not clear by moments !

By ASHIRWAD R

•Jun 9, 2020

Assignments are challenging and certainly the course is excellent for a beginner, though faced some issues at some point during assignments.

By Deleted A

•Aug 4, 2019

Strong basic preparation, but I feel that it stops too short. There should be a module 6 and a module 7 covering intermediate-level topics.

By Yue

•Jun 8, 2018

The lecture are sometimes confusing. The example are very easy, but the quiz and code we need to do are much more difficult than the example

By Patrick F

•Jan 28, 2019

Really good course, would recommend! 4 Stars, because there is no written transcript with the Formula and examples in the videos available.

By S M A H

•Sep 2, 2018

Course is very interesting and informative, but I found a couple of quiz aren't aligned with course material. These things need to improve.

By Pablo S V

•Jan 2, 2021

Pretty basic, I hope it gets more into machine learning techniques in the next two parts of the course, as this one is just basic algebra

By Gajendra S

•Jun 12, 2020

Really cool course, the Page Rank part was the only tough deal for me, I liked the overall course, thanks for this amazing experience! :)

By Luis M V F

•Mar 9, 2019

It would be better if they have more challenging assignments, and if they had a more detailed explanation of some mathematical concepts.

By Angelo O

•Dec 5, 2018

Nice refresher! Excellent instructors! Not recommended as a first Linear Algebra course though. I would go for MIT OpenCourseware first.

By Lasal J

•Nov 6, 2020

All the first four weeks were well comprehensive and clear. Week 5 (last week) on eigenvalues seemed rushed and could have been better.

By Jitendra S R

•Dec 23, 2019

This is really a very good course. To the point explanations. No more no less. Assignment Notebook links do have some problems though.

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