Use of Normal Data Distribution in Machine Learning

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 distribution.

Example- A typical normal data distribution:

import numpay
import matplotlib.payplot as plt

z = numpay.random.normal(5.0, 1.0, 100000)

plt.hist(z, 100)
plt.show()