Manhattan distance
Manhattan distance : The Manhattan distance, also known as the taxicab distance, is a measure of distance between two points in a grid-based system. It is calculated by taking the absolute difference of the two points’ coordinates in each dimension, summing those differences, and then returning the result. For example, consider two points, A and […]
Majority rule
Majority rule : The Malthusian parameter, also known as the Malthusian growth rate, is a concept in population dynamics that is used to describe the growth of a population in relation to the availability of resources. It is named after Thomas Malthus, who first proposed the idea in his 1798 book “An Essay on the […]
Mainframes
Mainframes : A mainframe is a large, high-powered computer that is capable of handling and processing vast amounts of data and information quickly and efficiently. Mainframes are typically used by organizations that need to process large amounts of data in real-time, such as banks, insurance companies, and government agencies. One example of a mainframe is […]
Main Effect
Main Effect : The main effect is a term used in statistics and psychology to describe the overall impact or effect of one variable on a dependent variable, without taking into account the potential influence of other variables. In other words, the main effect is the average effect of a single variable across all levels […]
Mahout
Mahout : Mahout is a project of the Apache Software Foundation that aims to provide scalable machine learning algorithms and libraries. It is particularly well-suited for large-scale data processing tasks, such as those commonly encountered in big data environments. One example of how Mahout can be used is in the field of collaborative filtering, where […]
Machine Learning
Machine Learning : Machine learning is a type of artificial intelligence that allows systems to improve their performance on a specific task by learning from data, without being explicitly programmed. This is done by using algorithms that can process large amounts of data and recognize patterns within it, in order to make predictions or take […]
Lynden-Bell method
Lynden-Bell method : The Lynden-Bell method, also known as the Lynden-Bell statistical mechanics, is a mathematical approach to understanding the behavior of complex systems. It was developed by British astrophysicist Donald Lynden-Bell in the 1960s and has been widely used in various fields, including physics, chemistry, and biology. One of the key principles of the […]
Lyapunov exponent
Lyapunov exponent : The Lyapunov exponent is a mathematical concept that quantifies the rate at which a system diverges or converges over time. This concept is commonly used in the study of chaotic systems, as it helps to identify whether a system is chaotic or stable. One example of the Lyapunov exponent is in the […]
L-statistic
L-statistic : The L-statistic is a statistical measure used to evaluate the performance of a linear regression model. It is calculated by taking the sum of the squared residuals of the model, which is the difference between the observed values and the predicted values of the model. One example of the use of the L-statistic […]
Long-range dependence
Long-range dependence : Long-range dependence is a phenomenon where the values of a time series are correlated over long periods of time. This means that the behavior of a time series in the present can be influenced by its behavior in the past, and vice versa. One example of long-range dependence is the stock market. […]