返回到 Mathematics for Machine Learning: Linear Algebra

4.6

2,578 個評分

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454 個審閱

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....

創建者 NS

•Dec 23, 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.

創建者 PL

•Aug 26, 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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451 個審閱

創建者 Yutong Zhang

•Apr 17, 2019

So great in general! But since it is not a pure maths course, some concepts are not explained in depth. It's a perfect course for self-learner because you can always go to the forum to look for answers.

創建者 Fish

•Apr 16, 2019

Very good I learn a lot though I get confused in Week 4 about E @ TE @ inv(E). Thank you profs!

創建者 Ivan Kravtsov

•Apr 14, 2019

Great instructors and great engagement. A very comfy way to have a broad view on a linear algebra.

創建者

•Apr 14, 2019

Excellent

創建者 Anuj Nagpal

•Apr 11, 2019

The course gives you all the intuition behind all the major linear algebra concepts one needs to know

創建者 João Carlos Lima Selva

•Apr 11, 2019

The course is very good, almost perfect for my purposes. I liked specially the effort to make the students get the necessary intuition instead of pushing a lot examples as many other MOOC usually do. But I've noticed some negative points. I ask you to take my critic as a sincere effort to improve the course and eliminate some mistakes that really matters to the students. The last quiz seems quite disconnected with the lectures and there isn't a support guide or tutorial not even a mentor answering the questions in the week 5 forum. Some mistakes on videos (eigenvalues and eigenvectors) were confirmed by the lecturer but never corrected. Not even a errata on resources section. Talking about the resources, I think it is very poor. Cousera has many better examples.

創建者 Santosh Bangera

•Apr 10, 2019

A well designed refresher course with greater emphasis on teaching us the underlying concepts.

創建者 LAURENT GRENIER

•Apr 06, 2019

A very good introduction but some of important content need to use another provider (Kahn academy) to understand completly

創建者 Steven P. Meyer

•Apr 05, 2019

Great Linear Algebra course!

創建者 Alberto Matuozzo

•Apr 04, 2019

Good material if you want to refresh your knowledge, poor programming assignment support/feedback