Unsampled: Unsampled data is data that has not been selected or drawn from a population. This term is used in statistics and data science, where it usually refers to the selection of a random sample from a population.
Definition of Dimension Reduction Dimension reduction is a data pre-processing technique that reduces the number of dimensions in a dataset while preserving most of the information. It is often used to improve performance and scalability when working with high-dimensional datasets. What is Dimension Reduction used for? Dimension reduction is a type of data transformation technique…
Definition of Standard Normal Distribution A normal distribution is a type of distribution that occurs frequently in nature and is symmetrical about its mean. The standard normal distribution is a specific type of normal distribution that has a mean of 0 and a standard deviation of 1.
Definition of Windowed Aggregation Windowed Aggregation: Windowed aggregation is the process of computing a statistic over a fixed-size window of data. The window slides along the data set, taking a fixed number of values from the start of the set and computing the statistic for each one. This can be done with any type of…
Definition of Kernel Regression Kernel Regression: Kernel regression is a type of nonlinear regression that uses a kernel function to calculate the weight of each input data point. This type of regression is often used for time series data, where the input points are close together in time. How is Kernel Regression used? Kernel Regression…
Definition of Resampling Resampling: Resampling is a technique used in data science to create new datasets from existing ones. It involves selecting a subset of the data to be used in the new dataset, and then randomly selecting samples from that subset. This process is repeated multiple times to create a new dataset that is…