Random Numbers
Random numbers are a sequence of numbers that are generated in a way that cannot be predicted beforehand. In data science, random numbers are used for various purposes such as generating random samples, simulating data, and testing statistical models. Random numbers can be generated using various methods such as pseudo-random number generators, which use a deterministic algorithm to generate a sequence of numbers that appear random, and true random number generators, which use physical processes such as atmospheric noise or radioactive decay to generate random numbers. The quality of random numbers is important in data science as biased or poorly generated random numbers can lead to inaccurate results and flawed models.
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