You will find some practical machine learning problems written in MATLAB and also with the possibility to open in Octave(open source software) with different topics: linear regression, logistic regression, PCA, data compression, analysis and so on.
Click the following link https://github.com/Daveric/machine-learning-ex
This examples correspond to the exercises from the Machine Learning course in Coursera platform, so be free to analyse my code, making tips or corrections are welcome, so I'm trying to use a vector implementation for each exercise.
As you know vector implementation for lot of Data could be less computational expensive than some other methods like loops, no matter which programming language you are using. So that's the target, using vectors your machine learning app will have a better performance.
NOTE:
If you want to use MATLAB software, there is a free subscription for testing the online MATLAB services(around 15 days), just through your favourite browser can open it and start to code there. It looks like this:
Click the following link https://github.com/Daveric/machine-learning-ex
This examples correspond to the exercises from the Machine Learning course in Coursera platform, so be free to analyse my code, making tips or corrections are welcome, so I'm trying to use a vector implementation for each exercise.
As you know vector implementation for lot of Data could be less computational expensive than some other methods like loops, no matter which programming language you are using. So that's the target, using vectors your machine learning app will have a better performance.
NOTE:
If you want to use MATLAB software, there is a free subscription for testing the online MATLAB services(around 15 days), just through your favourite browser can open it and start to code there. It looks like this:
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