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Machine Learning - Normal Data Distribution
Normal Data Distribution
According to the theory of probability this type of data distribution was known as normal data distribution, or Gaussian data distribution, after mathematician Carl Friedrich Gauss came up with the formula for this data distribution.
Machine learning is a step towards Artificial Intelligence (AI).
Machine learning is a process that analyzes data and learns to predict the outcome.
Example
A typical normal data distribution:
import numpy
import matplotlib.pyplot as plt
x = numpy.random.normal(5.0, 1.0, 100000)
plt.hist(x, 100)
plt.show()
import matplotlib.pyplot as plt
x = numpy.random.normal(5.0, 1.0, 100000)
plt.hist(x, 100)
plt.show()