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What is Feature Extraction?

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Feature Extraction refers to the process of identifying and selecting the most relevant features from raw data to enhance AI model performance. By extracting key information, businesses can improve efficiency, reduce noise, and focus on crucial variables for analysis.

Other Definitions

Genetic Algorithms

Genetic Algorithms are optimisation techniques inspired by the principles of evolution. By mimicking natural selection, Genetic Algorithms explore a large search space and find…

Predictive Analytics

Predictive Analytics uses historical data and statistical modelling techniques to make predictions about future outcomes. By analysing patterns and trends within data, businesses can…

Ensemble Learning

Ensemble Learning involves combining multiple Machine Learning models to achieve superior performance and accuracy. By leveraging the “wisdom of the crowd,” Ensemble Learning mitigates…

Decision Trees

Decision Trees are Machine Learning models that use a branching structure to make decisions or predictions. By determining the most important features and creating…
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