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Naive Bayes Classifier
ByDavis
Definition of Naive Bayes Classifier A naive Bayes classifier is a machine learning algorithm that relies on the assumption that the features of a given object are independent of each other. This algorithm is often used for text classification tasks, such as sorting email into spam and non-spam folders.
Mode
ByDavis
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…
Natural Language Processing (NPL)
ByDavis
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.
Expectation Maximization
ByDavis
Definition of Expectation Maximization Expectation Maximization: Expectation Maximization (EM): A statistical algorithm used to find the maximum likelihood estimate of a parameter in a probabilistic model. EM iteratively maximizes the expected likelihood of the data under the model, by adjusting the model’s parameters. What is Expectation Maximization used for? Expectation Maximization (EM) is a statistical…
S curve
ByDavis
Definition of S curve S curve is a graphical representation of data points that display nonlinearity in the trend. The points on the graph typically follow a smooth curve, indicating that the trend changes at different points in time. The S curve is often used when describing growth or decay over time.