## Moving Average

Definition of Moving Average A moving average (MA) is a statistical measure that calculates the average value of a given set of data points over a designated amount of time. The MA is typically used to smooth out irregularities or fluctuations in the data and to help identify trends. The most common type of MA…

## Monte Carlo method

Definition of Monte Carlo method The Monte Carlo method is a mathematical technique used to calculate the probability of an event by simulating many possible outcomes. How is the Monte Carlo method used? The Monte Carlo method is a numerical approach in which problems are solved by performing random sampling. It is used to solve…

## Model

Definition of Model A model is a representation of something in order to understand it or predict its behavior. In machine learning, a model is a mathematical function that is used to predict the value of a target variable, given a set of input variables. How is a Model used? A Model is a mathematical…

## Mean Squared Error

Definition of Mean Squared Error Mean Squared Error is a statistic used to measure the accuracy of predictions made by a machine learning model. It is calculated by taking the sum of the squared differences between the predicted values and the actual values for each data point, and dividing by the number of data points….

## Mean Absolute Error

Definition of Mean Absolute Error Mean Absolute Error (MAE) is a measure of the accuracy of predictions made by a model. It is computed by taking the average of the absolute differences between the predicted values and the actual values for each observation. How is Mean Absolute Error used? Mean Absolute Error (MAE) is a…

## MATLAB

Definition of MATLAB MATLAB is a software suite for high-performance numerical computation, visualization, and programming. It integrates mathematical computing, simulation, and graphical output into a single software environment. MATLAB is used extensively in engineering and scientific fields. How is MATLAB used? MATLAB is a high-level programming language developed by MathWorks for numerical computing and data…

## Markov Chain

Definition of Markov Chain A Markov chain is a mathematical model for sequences of random events, where the probability of any event depends only on the immediately preceding event. How is Markov Chain used? Markov Chain is a type of machine learning algorithm that uses probability to model complex systems. It is based on the…

## Machine Learning Model

Definition of Machine Learning Model A machine learning model is a representation of the data that is learned by a machine learning algorithm. The model can be used to predict the outcomes of future events, based on the data that is used to train the model. How is Machine Learning Model used? A Machine Learning…

## Mutation

Definition of Mutation Mutation: A mutation in data science is an alteration of the data, which can be intentional or accidental. How is Mutation used? Mutation is a term that is used when talking about machine learning algorithms, particularly genetic algorithms. It refers to a process of randomly making changes or modifications to the data…

## Multivariate Analysis

Definition of Multivariate Analysis Multivariate Analysis: Multivariate analysis is a set of statistical techniques used to analyze data that has more than one variable. The goal of multivariate analysis is to identify relationships between the variables and to find patterns in the data. How is Multivariate Analysis used? Multivariate Analysis is a data science and…