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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

Dimensionality Reduction

Dimensionality Reduction is the process of reducing the number of variables or features in a dataset while retaining its essential information. By eliminating irrelevant…

Speech Recognition

Speech Recognition enables machines to understand and interpret spoken words. By applying natural language processing techniques and AI models, businesses can develop speech recognition…

Facial Recognition

Facial Recognition is an AI technology that involves identifying and verifying individuals based on their facial characteristics. It analyses facial features such as the…
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