Statistics
Definition of Statistics
Statistics: Statistics is the practice of collecting, analyzing, and drawing conclusions from data.
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Jacobian
ByDavis
Definition of Jacobian Jacobian: The Jacobian is a matrix that calculates the derivatives of a given function at a certain point in space. What is Jacobian used for? Jacobian is a matrix of partial derivatives used in calculus and vector calculus to help determine the local maxima or minima of a function. It is a…
Meta-analysis
ByDavis
Definition of Meta-analysis Meta-analysis: A meta-analysis is a literature review of qualitative and quantitative studies that have been published on a specific topic. The goal of a meta-analysis is to summarize the findings of these studies and to identify patterns in the data. How is Meta-analysis used? Meta-analysis is a statistical technique used to combine…
Laplace Approximation
ByDavis
Definition of Laplace Approximation Laplace Approximation: The Laplace approximation is a method used in mathematics to approximate the value of a function. It is named after the mathematician Pierre-Simon Laplace, who first proposed it in 1774. The approximation is based on the assumption that the function is smooth, which means that it can be approximated…
Feature
ByDavis
Definition of Feature A feature is a characteristic of something, often used to describe data. In machine learning, features are the variables that are used to train and predict models. Good features are important for making accurate predictions, so it is important to select the most relevant features for your data set. What is a…
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…