Vector
Definition of Vector Vector: A vector is a mathematical object consisting of a set of points in a given space, each identified by a unique coordinate.
Vector Space Model
Definition of Vector Space Model Vector Space Model: A vector space model is a mathematical model used in statistics, data mining, and machine learning to describe a set of objects in terms of their attributes and relationships between them.
Variance
Definition of Variance Variance: Variance is a measure of how spread out a set of data points are. It is calculated by taking the difference between each data point and the mean, then squaring the results. This gives you a value that can be compared across different sets of data.
Variable
Definition of Variable Variable: A variable is a named entity that can take on different values. In data science, variables are often used to represent the attributes of objects in a dataset. For example, the age of a person might be represented by a variable called “age”.
Upstream
Definition of Upstream Upstream: Upstream and Downstream are terms used in data science to describe the flow of data or what order events occur. Data is processed and becomes more refined as it moves through the various processes. Upstream is closer to the source. When discussing a specific process step, Downstream is a term that…
UPF
Definition of UPF UPF: UPF stands for Uniform Probability Function. It is a mathematical function that assigns a probability to each outcome in a given set of outcomes.
Update
Definition of Update Update: Update is the process of modifying an existing item in a dataset. This may be done to correct errors, add new information, or improve the accuracy of the data.
Untested
Definition of Untested Untested: Untested refers to an algorithm or technique that has not been used on any data set.
Unsupervised Learning
Definition of Unsupervised Learning Unsupervised Learning: Unsupervised learning is a type of machine learning algorithm that does not rely on feedback from humans to learn how to identify patterns in data. These algorithms are typically used to identify patterns in data that have not been labeled or categorized by humans.
Unsampled
Definition of Unsampled Unsampled: Unsampled data is data that has not been selected or drawn from a population. This term is used in statistics and data science, where it usually refers to the selection of a random sample from a population.