Weighted Average
Definition of Weighted Average
Weighted Average: Weighted average is a calculation that assigns a weight to each value in a set and then calculates the sum of those weights divided by the sum of the weights.
Similar Posts
Function
ByDavis
Definition of Function Function: A function is a set of instructions that tells a computer what to do. Functions can be used to calculate things, or to make decisions. What are Functions used for? Functions are a key component in the programming language of data science and machine learning. A function is a block of…
Latent Variable
ByDavis
Definition of Latent Variable Latent Variable: Latent Variable: In statistics, a latent variable is a hypothetical construct that explains the observed variability in a set of measured variables. Latent variables are unobservable or hidden variables that cannot be directly measured, but rather must be inferred from other observed variables. How is a Latent Variable used?…
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…
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…
Deep Learning
ByDavis
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…