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• Numeric: Numeric refers to the data type that represents numbers. In data science, numeric data is used to perform mathematical operations and statistical analysis. Numeric data can be further classified into two types: discrete and continuous. Disc ... Read More >>
• Position: In Data Science, position refers to the location of a data point in a dataset. It can be represented by a set of coordinates or a vector that describes the location of the data point in a multi-dimensional space. Position is a fundamental c ... 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 >>