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Random Data Distributions In Machine Learning the data introduce with thousands-, or even millions, of values. You might not have accurate data when you are testing an algorithm, you might have to use randomly created values. As we learn in the previous article on Normal Data Distribution that ...

In Normal Data Distribution we review how to build an array where the values are concentrated over a given value. This kind of data distribution is known as the normal data distribution or the Gaussian data distribution. The mathematician Carl Friedrich Gauss rises with the formula of this data ...

Data Distribution in Machine learning To collect data from the real world is a difficult task because at an early stage of a project the data is not in a limited form it has a broad format. In some previous articles, we have gone through a limited amount of data to explain the concept in different ...