## Binomial Distribution

A binomial distribution is a statistical distribution that gives the probability of a certain number of successes in a series of n independent Bernoulli trials.

## Bias

Bias is a systematic error in judgment or decision making, resulting in judgments that are not completely impartial. It can refer to either statistical bias or cognitive bias. Statistical bias is the result of an …

## Bayesian Network

A Bayesian network, also called a belief network, is a probabilistic graphical model that represents a set of random variables and their conditional dependencies. Variables are represented as nodes in the…

## Bayes’ Theorem

Bayesâ€™ Theorem is a mathematical formula that calculates the likelihood that a particular event will happen, based on the conditional probability of that event occurring, given that some other event has…

## Backpropagation

Backpropagation is a neural network algorithm used to train artificial neural networks. The algorithm calculates the gradient descent of the cost function with respect to the weights of the neurons in the network.

## Business Intelligence (BI)

Business Intelligence (BI) is the process of gathering, organizing, and analyzing data to help business leaders make better decisions. BI can include everything from analyzing sales data to tracking customer…

## Boxplot

A boxplot is a graphical representation of the five-number summary of a dataset. The five-number summary includes the minimum, first quartile, median, third quartile, and maximum of a dataset…

## Bootstrap

Bootstrap is a technique for estimating the parameters of a statistical model from a limited number of observations. It is a resampling technique that is used to build confidence intervals or to generate…

## Boosting

Boosting is a machine learning technique for improving the accuracy of predictions. It is a type of ensemble learning, which combines the predictions of several individual models in order to produce a…

## Bivariate Analysis

Bivariate Analysis is the examination of two sets of data, typically in order to identify any correlations between them. This can be used to inform further analysis, or to gain a better understanding of the data…