# Central limit theorem and Law of large numbers

The ultimate goal of machine learning techniques, is to predict the actual probability distribution of data generating process. Now this data generating process could be from any trivial or non-trivial probability distribution and it might not be significant to have any assumption looking at the samples/training data taken from population. Here comes Central limit theorem and give some interesting properties…