返回到 Mathematics for Machine Learning: Linear Algebra

4.7

4,188 個評分

•

754 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....

Sep 10, 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.

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 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 !!!

創建者 Jason J

•May 25, 2018

David Dye is excellent! I wish my university mathematics was taught like this 15 years ago.

創建者 Jonathan F

•May 20, 2018

Excellent introduction. For me, as someone who had studied vectors and matrices at school, decades ago, it was wonderful to go back and re-learn this stuff in a different way. This course is much more focused on the meaning and usefulness of these things, rather than just learning how to do the maths. The first 3 minutes of the session on eigenvectors brilliantly showed in graphical form what they really are, something I'd never really grasped at school. Recommended.

創建者 Ahmed H A E

•Jul 08, 2018

It's really a very interesting course.

創建者 Alex J

•May 13, 2018

I am new to this platform...

I would have liked to have the option for the system to accept lower grade (60%) if I don't have time to do 80% but have general idea on how to do it.

創建者 Aditya B

•Apr 24, 2018

A beautiful course to give you an insight about the geometric interpretation of ML and get an intuition of various concepts

創建者 Clara M L

•Apr 12, 2018

I like how they are able to visualise everything.

Since I am good at understanding abstract concepts I didn't really have the need to visualise, so it was nice to get a different perspective on Linear Algebra.

創建者 Sheikh N I

•Jul 02, 2018

Thanks!

創建者 Gyrdymov I

•May 30, 2018

The lecturers gave me robust intuition that lies behind almost all main processes in linear algebra. Also, the course has pretty good visualization side (bright, useful, clear and understandable images, schemes and plots are used in this course to provide better understanding of the main concepts).

創建者 ChristopherKing

•Mar 22, 2018

This is such a great course for student already have background about college level linear algebra knowledge, but don't know the under relationship among those terminologies. For instance, after this course I finally know what is dot product means, what is eigen characteristics. The content of this course are well prepared, this is such a masterpiece from Imperial College London. Thanks to all stuff behind this course.

創建者 Stefan B

•Apr 08, 2018

It was fun to work through the course. Sometimes it was challenging as it has to be. Now I have a much better understanding of the topic. Especially appreciated is the approach of the instructors to build intuition: it worked for me, thanks!

創建者 denise d

•May 05, 2018

Excellent!

創建者 Alexander Y

•Jun 28, 2018

amazing course

創建者 Ashish D S

•Apr 09, 2018

This is excellent course on Linear Algebra. The best part of this course is, lectures focus on the physical interpretation of the topics rather than making you practice formulae without understanding. This course helped me refresh my Linear Algebra concepts and also helped me better understand change of basis and Eigen related concepts.

Many many thanks to professors for excellent course design and presentation.