[Resources] to learn tools related (Matlab/git/javascript/k-means)

[xqu]

https://kb.brandeis.edu/display/LTS/MATLAB download and install matlab , free with brandeis login

https://www.coursera.org/learn/machine-learning

week2 Octave/Matlab Tutorial This course includes programming assignments designed to help you understand how to implement the learning algorithms in practice. To complete the programming assignments, you will need to use Octave or MATLAB. This module introduces Octave/Matlab and shows you how to submit an assignment.

[VenusMeow]

Git: https://www.codecademy.com/learn/learn-git

[VenusMeow]

Javascript: https://www.codecademy.com/learn/introduction-to-javascript

[VenusMeow]

K-means:

https://www.coursera.org/learn/machine-learning

week1 unsupervised learning 理解什么是kmean 就可以了。Kmean 的video在week 8.

https://www.mathworks.com/help/stats/kmeans.html

matlab code: % classify

[idx,X,sumd,D] = kmeans(all,numClusters);

[C,D]=museClassifyAll(all,1,X);

[xqu]

https://github.com/marketplace/zenhub get this to focus on the 'Current' Issue

[xqu]

https://github.com/marketplace/zenhub Please install this zenhub tool, so we can focus on one or two issues each week in the "In Progress" section. And get these done!