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QWhat does the term "Feature Extraction" signify in AI?

ID: #11120 Definitions 123 views
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  • A The study of algorithms and data structures ✔ ✖
  • B The process of selecting relevant features from raw data to represent the input for a machine learning model ✔ ✖
  • C The development of algorithms for speech recognition ✔ ✖
  • D The development of virtual reality systems ✔ ✖
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Ensemble Learning is a machine learning technique that combines multiple individual models, called base learners, to make predictions or decisions. The idea behind ensemble learning is that the combination of diverse models can often yield better results than using a single model. Ensemble methods include techniques like bagging, boosting, and stacking, where the models are trained independently and their outputs are combined to generate the final prediction.

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