The numpy.random.RandomState.standard_normal function in Python's NumPy library generates a random array of numbers from a standard normal distribution. This distribution has a mean of 0 and a standard deviation of 1. The function takes an optional argument to specify the shape of the output array. Each element in the array is generated independently and follows the standard normal distribution. This function is useful for generating random numbers for statistical simulations, machine learning algorithms, and other applications where random values from a normal distribution are needed.
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