Querying: Querying is the process of extracting information from data, or the act of performing a query.
Bayesian Inference is a statistical method of using prior knowledge and data to generate probabilities about future events.
Definition of Model A model is a representation of something in order to understand it or predict its behavior. In machine learning, a model is a mathematical function that is used to predict the value of a target variable, given a set of input variables. How is a Model used? A Model is a mathematical…
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 Input Input: Input refers to the data that is given to a machine learning algorithm in order to learn from it. The input can be in a number of formats, including text, images, and videos. What are the most common types of Input given to machine learning algorithms? The most common types of…
Definition of G-Model G-Model: The G-Model is a data science model that is used to predict future events. It can be used to predict the behavior of customers, the sales of products, or the outcome of elections. What is a G-Model used for? A G-Model is a type of supervised machine learning algorithm used to…