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Regularization in machine learning is a technique used to prevent overfitting by adding a penalty term to the model's loss function. This penalty...
Data normalization in machine learning is a preprocessing step to rescale features to a standard range, typically [0, 1] or [-1, 1]. This ensures that...
Regression in machine learning is a supervised learning technique used to predict continuous numeric outcomes based on input features. It models the...
A Decision Tree is a popular machine learning algorithm used for both classification and regression tasks. It builds a tree-like model of decisions...
Data normalization in machine learning refers to the process of rescaling the features of a dataset to a standard scale. This ensures that each...
Speech recognition in artificial intelligence (AI) involves converting spoken language into text or commands. The process typically includes audio...