Memory-based Algorithms

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• Statistics: Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. In data science, statistics plays a crucial role in understanding and making sense of data. It provides ... Read More >>
• Latent Factors: Latent factors are underlying, unobserved variables that explain the relationships between observed variables in a dataset. In data science and machine learning, latent factor analysis is a technique used to identify these underlying factor ... Read More >>
• Stratified Randomization: Stratified randomization is a sampling technique used in experimental design to ensure that each subgroup or stratum of the population is represented in the sample in proportion to its size in the population. In the context of data science ... Read More >>