Geometric distribution is a probability distribution that represents the number of trials needed to obtain a success in a Bernoulli experiment.| DeepAI
The Gamma distribution is a family of right-skewed, continuous probability distributions used in statistics and probability theory.| DeepAI
A cumulative distribution function (CDF) describes the cumulative probability of any given function below, above or between two points.| DeepAI
In machine learning, an estimator is an equation for picking the “best,” or most likely accurate, data model based upon observations in realty.| DeepAI
A Probability Density Function is a statistical expression used in probability theory as a way of representing the range of possible values of a continuous random variable. The area under the curve represents the interval of which a continuous random variable will fall, and the total area of the interval represents the probability that the variable will occur.| DeepAI
A Probability Distribution is the sum of the probabilities of the events occurring. There are two distinct types of probability distributions, continuous and discrete.| DeepAI
Probability in deep learning is used to mimic human common sense by allowing a machine to interpret phenomena that it has no frame of reference for.| DeepAI