Open Source
Definition of Open Source
Open Source: Open source refers to software for which the original source code is made freely available and may be redistributed and modified.
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Inference
ByDavis
Definition of Inference Inference: Inference is the process of using known information to draw conclusions about something that is unknown. In data science, inference is often used to draw conclusions from data that has been collected. This can be used to identify trends or patterns in data, or to make predictions about future events. What…
Quality Control
ByDavis
Definition of Quality Control Quality Control: In the context of data science, quality control is the process of ensuring that data is accurate and reliable. This can be done through a variety of techniques, such as checking for inconsistencies, verifying the source of the data, and performing statistical tests. By making sure that data is…
Data Integration
ByDavis
Definition of Data Integration Data Integration: Data integration is the process of combining data from multiple sources into a single coherent dataset. This can be done manually, but more often it is done with software that can combine the data automatically. The goal of data integration is to make it easier to analyze the data…
Eigenvector
ByDavis
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…
Normalized
ByDavis
Definition of Normalized Normalized: Normalized is a statistic term referring to the process of adjusting a value to have a unit of measurement. For example, the value of weight can be normalized by dividing it by the unit of weight, such as kilograms.