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Oblique Sampling

Definition of Oblique Sampling

Oblique Sampling: Oblique sampling is a type of non-random sampling technique. It is used when the researcher wants to study a specific population but does not have access to all members of that population. Oblique sampling involves selecting units for the study in a way that is not completely random. The units can be selected in any number of ways, including by using quotas, stratified sampling, or cluster sampling. This technique is often used when the population is difficult to access or when the population is too large to sample randomly. 

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Latent Dirichlet Allocation

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Definition of Latent Dirichlet Allocation Latent Dirichlet Allocation: Latent class analysis (LCA) is a technique used in statistics and data mining for the analysis of categorical data. LCA is a type of cluster analysis that seeks to identify a finite number of unobserved classes (clusters) within a population. The detected classes are latent, meaning they…

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Iterative

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Definition of Iterative Iterative: Iterative means “repeatedly doing something.” In data science, this usually refers to the process of repeatedly running a machine learning or deep learning algorithm on a dataset in order to improve the accuracy of the predictions made by the algorithm. When is an Iterative process used in Machine Learning or Data…

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Gradient Boosting

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