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Experiments with Hoeffding inequality, feasibility of learning from sample data

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Codes for the exercise 1.10 in book "Learning from Data" by Yaser Abu-Mostafa. Experiment shows a "uniform" version of Hoeffding's inequality with a non-trivial hypothesis set.

Obviously this is an overkill - it creates a more general framework for running experiments. I made it mostly to practice working with with GitHub and to better understand statistics/machine learning.

Of course, it is far from being optimal, and in fact, I am also including a couple of Octave scripts to do the same things more efficiently. They can be found in the folder "octave" and running them will produce histograms.

R-bee

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