Probability Distributions
Probability distributions are mathematical functions that describe the likelihood of obtaining different possible outcomes from a random event. In data science, probability distributions are used to model and analyze data, and to make predictions about future events. There are many different types of probability distributions, including the normal distribution, the binomial distribution, the Poisson distribution, and the exponential distribution. Each distribution has its own set of parameters that determine its shape and characteristics. Probability distributions are an essential tool in statistical inference, which involves drawing conclusions about a population based on a sample of data. They are also used in machine learning algorithms, such as Bayesian networks and decision trees, to model uncertainty and make predictions.
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