Standard Deviation: Standard deviation is a measure of how spread out a set of data points are. It is calculated by taking the average of the distances of each data point from the mean, and then squaring them. This gives us a measure of how far each data point is from the mean, on average. The standard deviation is then calculated by taking the square root of this number.
Definition of Non-Negative Matrix Factorization Non-Negative Matrix Factorization: Non-negative Matrix Factorization (NMF) is a technique used to decompose a matrix into two parts: a lower triangular matrix (containing the “feature” values) and an upper triangular matrix (containing the “coefficients” associated with each feature).
Definition of Jitter Jitter: Jitter is a measure of the variability of the time between samples in a data set. It’s a technique used to add random variation to data points in a time series in order to remove bias. What is Jitter used for? Jitter is a technique used in data science and machine…
Definition of Jacobian Jacobian: The Jacobian is a matrix that calculates the derivatives of a given function at a certain point in space. What is Jacobian used for? Jacobian is a matrix of partial derivatives used in calculus and vector calculus to help determine the local maxima or minima of a function. It is a…
Definition of Multivariate Multivariate: Multivariate refers to a dataset or analysis that considers more than one variable at a time. For example, in a multivariate analysis, you might examine the relationship between height and weight in order to understand how they are related. How is Multivariate used? Multivariate analysis is a collection of techniques used…
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…