Quintiles
Definition of Quintiles
Quintiles: A quintile is a statistical division of a data set into five parts, each containing one-fifth of the data.
Quintiles: A quintile is a statistical division of a data set into five parts, each containing one-fifth of the data.
Definition of Operational Definition Operational Definition: An operational definition is a specific, quantitative definition of a term, which can be used to measure or calculate it. This definition is typically found in a laboratory setting, where a scientist can observe and measure the term’s properties. For example, the operational definition of the speed of light…
Definition of Eigenvector Eigenvector: An eigenvector is a particular type of vector that has a special property: it’s multiplied by a certain matrix (the “eigenvalue matrix”) in such a way that the result is always the same. What is an Eigenvector used for? An Eigenvector is a special type of vector used in linear algebra…
Machine Learning: Machine learning is a subfield of artificial intelligence that enables computers to learn from data without being explicitly programmed. It focuses on the development of algorithms that can automatically learn to improve performance on a task as they are exposed to more data.
Definition of Deep Learning Deep learning is a type of machine learning that uses multiple layers of nonlinear processing units, called neurons, to learn representations of data. Deep learning architectures can learn to represent data in ways that are more accurate and efficient than shallow architectures. What is Deep Learning used for? Deep learning is…
Definition of SaaS SaaS: Service as a software (SaaS) is a software delivery model in which software and its associated data are hosted by the provider. Customers can access and use the software, typically through a web browser, while the provider manages the infrastructure and security.Service as a software (SaaS) is a software delivery model…
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…