Probability and random variables are an integral part of computation in a graph-computing platform like PyTorch. Understanding probability and the associated concepts are essential. This chapter covers probability distributions and implementation using PyTorch, as well as how to interpret the results of a test. In probability and statistics, a random variable is also known as a stochastic variable , whose outcome is dependent on a purely stochastic phenomenon, or random phenomenon. There are different types of probability distribution, including normal distribution, binomial ...
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