Definition of Nonlinear Nonlinear: Nonlinearity means that the output of a system is not proportional to the input. In data science, this can often manifest as curved lines when graphing data points, rather than a straight line. Nonlinear systems can be more difficult to model and predict future outcomes.
Definition of Neural Network Neural Network: A neural network is a computer system modeled on the workings of the human brain. It is composed of interconnected processing nodes, or neurons, that can learn to recognize patterns of input data. A neural network is a type of machine learning algorithm that is used to model complex…
Definition of Network Analysis Network Analysis: Network analysis is the process of studying relationships between entities in a network. Network analysis can be used to understand how information flows through a network, or to identify important nodes in a network.
Definition of Natural Language Processing (NPL) Natural Language Processing (NPL): Natural language processing (NLP) is a field of computer science and linguistics that deals with the interaction between computers and human languages, and with the development of software that can understand natural language.
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…
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…
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 Modeling Modeling: Modeling is the process of creating a mathematical representation of a real world phenomenon. Modeling is a process of using past data to understand and predict future outcomes. It can involve creating mathematical models to represent relationships in the data, or using machine learning techniques to build models from data that…
Definition of Mode Mode: Mode is a statistical measure of the typical value of a data set. It is calculated by taking the sum of the data values and dividing by the number of data points. Mode is most useful when dealing with nominal data. How is Mode used? Mode is a central measure of…
Definition of Metadata Metadata: Metadata is data that describes other data. It can include information such as the date a file was created, the author of a document, or the keywords used to identify a piece of content. Metadata can be used to help organize and find information, and to track changes to data over…