Machine learning course

Time to (re)learn matlab/octave.

https://www.coursera.org/learn/machine-learning
Some material is still locked because the course begins in 3 days.
It doesn’t seem easy at all even if it supposed to be introductory.

Material from previous years from the official Stanford course:
http://cs229.stanford.edu/

Download videos:
https://class.coursera.org/ml-005/lecture

See code:
https://github.com/Swizec/ml-class-homework
https://github.com/WuWei-Beijing/ML
https://github.com/Kimbsy/Octave
https://github.com/dipanjanS/machine-learning-coursera
https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning/tree/master/ML

note: Copying the solutions would be cheating but I don’t expect Andrew Ng to put the same questions this course and he has put no questions yet.
They’re no secret being the first ones to come up on github searching for “ml octave”.


x230 iker ~ $ sudo apt-add-repository ppa:octave/stable
x230 iker ~ $ sudo apt-get update
x230 iker ~ $ sudo apt-get install octave octave-info
x230 iker ~ $ octave --force-gui
GNU Octave, version 4.0.0

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