Definition of Meta-analysis Meta-analysis: A meta-analysis is a literature review of qualitative and quantitative studies that have been published on a specific topic. The goal of a meta-analysis is to summarize the findings of these studies and to identify patterns in the data. How is Meta-analysis used? Meta-analysis is a statistical technique used to combine…
Definition of Measurement Measurement: A measurement is a quantifiable value that is assigned to a variable. Measurement is the process of quantifying a property of an object. How are Measurements used? Measurements play an important role in data science and machine learning. They are used to help quantify and compare models, features, and data points….
Definition of Mean Mean: Mean is a mathematical calculation used to calculate the average of a set of numbers. How is the Mean used? The Mean is a statistical measure used in data analysis and machine learning to evaluate the central tendency of a given set of numerical values. It is calculated by adding up…
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…
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…
Machine Learning: Machine learning is a subfield of artificial intelligence that enables computers to learn from data without being explicitly programmed. It focuses on the development of algorithms that can automatically learn to improve performance on a task as they are exposed to more data.
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…
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…
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…