XOR
Definition of XOR
XOR: XOR is a logical operator that produces a true result if and only if exactly one of its operands is true.
XOR: XOR is a logical operator that produces a true result if and only if exactly one of its operands is true.
Definition of Exact p-value Exact p-value: The Exact p-value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true. What is Exact p-value used for? Exact p-values are used to help assess the strength of evidence for a hypothesis…
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 Parametric Parametric: Parametric models are a type of statistical model that rely on mathematical formulas to describe the relationship between the input and output variables. These models can be used to predict future values for the output variable based on past values of the input variable.
Definition of Data Collection Data Collection: Data collection is the process of gathering data, often from different sources, for analysis. This can be done through surveys, interviews, focus groups, or other methods. What is a Data Collection used for? A Data Collection is a collection of data that is used for the purpose of analysis…
Definition of Data Engineering Data Engineering: Data engineering is the process of extracting meaning from data and transforming it into a form that can be used by business analysts, managers, and other decision-makers. Data engineering involves creating models and tools to make data more accessible and useful. What is Data Engineering used for? Data engineering…
Definition of Feature A feature is a characteristic of something, often used to describe data. In machine learning, features are the variables that are used to train and predict models. Good features are important for making accurate predictions, so it is important to select the most relevant features for your data set. What is a…