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• Embedding Space: Embedding Space is a mathematical representation of objects or concepts in a lower-dimensional space, where each dimension represents a feature or attribute of the object or concept. In Data Science and Artificial Intelligence, embedding sp ... Read More >>
• Penalty Term: In the context of machine learning, a penalty term is a regularization technique used to prevent overfitting of a model. It is added to the loss function of the model during training to discourage the model from fitting the training data to ... Read More >>
• Predictive Model: A predictive model is a statistical or machine learning algorithm that is trained on historical data to make predictions about future events or behaviors. The model uses input variables, also known as features, to generate an output variabl ... Read More >>