返回到 Mathematics for Machine Learning: Linear Algebra

4.7

4,172 個評分

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751 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....

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.

Apr 01, 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.

篩選依據：

創建者 Mark C

•Jul 16, 2018

Thiw as much more interesting than the linear algebra class I took a long time ago.

創建者 Bernard P

•Jul 16, 2018

Very helpful insight into linear algebra for ML, also introduction to numpy usage

創建者 Le N P

•Jul 11, 2018

many thanks

創建者 Kamil G

•Jul 11, 2018

Great content, clarity and visualisations. I found this course extremely useful, it gives me fundamentals to understand more advanced machine learning problems.

創建者 Jitender S V

•Jun 30, 2018

This is the BEST course if anyone wants to learn linear algebra for machine learning. Lectures are clear and very understandable and quiz questions are great, too. Thank you for this great course.

創建者 Cynthia M

•May 19, 2018

I enjoyed the presenter's. The course helps you see how linear algebra is connected to data science.

創建者 Bomma L K

•Mar 31, 2018

very intuitive, must have of clear description of LA

創建者 Marakhi D

•May 08, 2018

Great course.

創建者 laszlo

•Apr 21, 2018

Awesome course!!! The course is very helpful for those who are willing to build an intuition of linear algebra. The coding assignments are a bit easy for CS students, but allow you to understand what has been taught in the course.

創建者 Xiaoyuan C

•May 21, 2018

Super interesting and impressive course

創建者 Annamalai S

•Jul 03, 2018

Really great course!

創建者 Joe E

•May 02, 2018

Great course with great instructors.

創建者 Vitória C

•Jul 11, 2018

The content of the course is very relevant, and the instructors are really fun and helpful.My only suggestion is to upload revisions for each assessment, so we can understand what we are doing wrong.

創建者 Bálint - H F

•Jun 06, 2018

Very very good !

創建者 Timo K

•Mar 28, 2018

Pros:

Amazing explanations of the covered topics, extremely engaging teaching staff

Focusses on the right things

Good and enough practice problems

Great (albeit easy) programming problems

Cons:

Calculation of Eigenvectors could have been covered better in my opinion

A final handout for all the covered topics would be really nice

Overall a tremendous course if you want to brush up on linear algebra. To me LA was taught mostly doing rote calculations without motivating the concepts or explaining them geometrically. I had more than a handful of "oh, so that's how this actually works" moments. I feel like my intuitive understanding of linear algebra concepts has made a big improvement.

創建者 Kannan S

•Apr 11, 2018

Concepts are clearly explained with numerical examples.

創建者 Vijay K

•May 18, 2018

It is a wonderful course to understand linear algebra. I am really grateful to the professors for their effort.

創建者 FRANCK R S

•Apr 15, 2018

I took a great pleasure to study this linear algebra course, teachers are very talented since their way to explain mathematical concepts make it very easy to understand , in fact with this particular amazing approach I changed my perception about learning math and sciences in general. I do recommend this course if you look for a global overview of linear algebra for direct application in machine learning or computer sciences!

創建者 林澤佑

•Mar 12, 2018

Nice course design, especially for the practice of matrix manipulation frequently used in machine learning.

創建者 Loveleen G

•May 04, 2018

Good Course, Go for it.

創建者 Musawar A

•Jul 08, 2018

Very nice opertunity

創建者 Marco C

•Apr 09, 2018

One of the best online courses I've ever taken.

創建者 Vassiliy T

•May 17, 2018

very well structured. problem solving pushes to learn more

創建者 Anqi K

•Jun 23, 2018

Nice Course! Carefully explain the core concept in linear algebra and links with computational method

創建者 Peter H S

•May 09, 2018

Excellent course on the relevant parts of linear algebra for CS. Both instructors are great fun to watch and the assignments use up-to-date Python programming and Jupyter notebooks. Well done !!!