Bagplot
Bagplot : A bagplot is a graphical tool for displaying the distribution of a multivariate dataset. It was developed by Rousseeuw and Van Zomeren as an extension of the classical boxplot, which is used for univariate data. A bagplot is a scatterplot of a dataset, with two lines drawn around the points to indicate the […]
Bagging
Bagging : Bagging, also known as bootstrap aggregation, is a machine learning technique that involves training multiple models on different subsets of the same dataset and then combining their predictions to improve the overall performance of the model. This technique is particularly useful when dealing with complex datasets that may have a high degree of […]
Backfitting
Backfitting : Backfitting is a technique used in regression analysis to estimate the parameters of a model by iteratively fitting each variable in the model while holding the remaining variables fixed. This technique is often used when the number of variables in the model is large, or when there is collinearity among the variables, which […]
Backpropagation
Backpropagation : Backpropagation, also known as backprop, is a popular method used in artificial neural networks to train and update the weights and biases of the network. It is a supervised learning algorithm that uses a gradient descent optimization method to minimize the error between the predicted output of the network and the actual output. […]
Backcasting
Backcasting : Backcasting is a method used in time series analysis to generate a hypothetical sequence of events or values that would result in a given final outcome or ending point. It involves working backwards from the known final outcome to identify the steps or factors that would need to be in place in order […]
Average Sample Number
What is Average Sample Number ? Average Sample Number (ASN) is a statistical measure used to determine the average number of samples needed to obtain a specified level of accuracy in a sample survey. It is calculated by dividing the total number of samples by the total number of units in the population. For example, […]
Average Precision
What is Average Precision ? Average precision is a metric used in information retrieval and data mining to evaluate the performance of a model in ranking items. It measures the average of the precision values at each position in the ranking, taking into account only the items that are relevant to the query. For example, […]
Autoregression
What is Autoregression ? Autoregression is a time series analysis technique that uses previous values of a time series to predict future values. This technique is commonly used in forecasting and modeling time-series data, such as stock prices, demand for products, or weather patterns. For example, if we have a time series of monthly sales […]
Autocorrelation
What is Autocorrelation ? Autocorrelation is a statistical measure that describes the relationship between a variable and its own lagged values. It is often used to assess the degree of correlation between a time series and its past values, and can provide valuable insights into the underlying patterns and trends in the data. One common […]
Augmented Reality
What is Augmented Reality ? Augmented Reality (AR) is a technology that blends digital information with the user’s physical environment in real-time. Unlike virtual reality, which creates a completely artificial environment, AR enhances the existing environment by overlaying digital elements on top of it. For example, AR can be used in gaming to add virtual […]