|

Matrix

Definition of Matrix Matrix: A matrix (plural matrices) is a rectangular array of numbers, symbols, or other objects. The individual items in a matrix are called its elements. Related: “The Matrix” is an awesome movie from 1999. How is a Matrix used? A matrix is an array of numbers or other data used in mathematics…

|

Mathematical Statistics

Definition of Mathematical Statistics Mathematical Statistics: Mathematical statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It also provides techniques for estimating properties of populations from samples. Mathematical statistics is distinguished from other statistical techniques in that it relies on mathematical theory as a foundation. What…

|

Linear Regression

Definition of Linear Regression Linear Regression: Linear Regression is a statistical technique that helps us understand how one variable (the dependent variable) changes when other variables (the independent variables) change. It does this by fitting a line through a set of data points, and then using the line to predict the value of the dependent…

|

Linear Algebra

Definition of Linear Algebra Linear Algebra: Linear Algebra is the study of mathematical problems that can be best explained in terms of linear equations. It is a powerful tool for solving problems in physics and engineering, and has many applications in data science. How is Linear Algebra used? Linear Algebra is widely used in the…

|

Level of Detail

Definition of Level of Detail Level of Detail: A level of detail (LOD) is a measure of how much information is included in a data set. Larger data sets typically have more detail, while smaller data sets may only include basic information. When working with data, it is important to understand the level of detail…

|

Leakage

Definition of Leakage Leakage: Leakage is when data that should be confidential or private is released to unauthorized individuals. What are the impacts of Leakage? The impacts of data leakage can be far-reaching and very damaging for individuals and organizations alike. Leaked data may include personal information, such as names, addresses, phone numbers, financial details…

|

Latin Hypercube Sampling

Definition of Latin Hypercube Sampling Latin Hypercube Sampling: Latin Hypercube Sampling (LHS) is a method for constructing a point sample from a probability distribution. The most common use case for LHS is in Monte Carlo simulations, where the goal is to approximate the distribution of a function by taking repeated samples from it. In order…

|

Latent Variable

Definition of Latent Variable Latent Variable: Latent Variable: In statistics, a latent variable is a hypothetical construct that explains the observed variability in a set of measured variables. Latent variables are unobservable or hidden variables that cannot be directly measured, but rather must be inferred from other observed variables. How is a Latent Variable used?…

|

Latent Dirichlet Allocation

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…