Sampling
Definition of Sampling
Sampling: Sampling is the process of selecting a subset of a population for study. This can be done randomly or using some other method such as stratified sampling.
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Strata, Stratified Sampling
ByDavis
Definition of Strata, Stratified Sampling Stratified sampling is a type of probability sampling in which the population is divided into strata and a simple random sample is taken from each stratum. This type of sampling is used when the population is heterogeneous and the researcher wants to ensure that all strata are represented in the…
Time Series Data
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Definition of Time Series Data A time series is a sequential set of data points, typically measured at successive points in time. Time series analysis is the process of analyzing time series data in order to identify patterns and forecast future values. Time series data can be used to measure and predict changes in everything…
Standard Deviation
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Definition of Standard Deviation Standard Deviation: Standard deviation is a measure of how spread out a set of data points are. It is calculated by taking the average of the distances of each data point from the mean, and then squaring them. This gives us a measure of how far each data point is from…
Non-Negative Matrix Factorization
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Definition of Non-Negative Matrix Factorization Non-Negative Matrix Factorization: Non-negative Matrix Factorization (NMF) is a technique used to decompose a matrix into two parts: a lower triangular matrix (containing the “feature” values) and an upper triangular matrix (containing the “coefficients” associated with each feature).
Ensembling
ByDavis
Definition of Ensembling Ensembling: Ensembling is a technique used in machine learning that consists of combining the predictions of multiple models in order to improve the accuracy of the predictions. What is Ensembling used for? Ensembling is a technique in data science and machine learning in which multiple prediction models are combined to produce a…