Big Data

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• Predictions: Predictions refer to the process of using statistical algorithms and machine learning models to forecast future outcomes based on historical data. Predictive models are trained on historical data to identify patterns and relationships betwe ... Read More >>
• Preference Learning: Preference learning is a subfield of machine learning and artificial intelligence that deals with the problem of learning from user preferences. It involves developing algorithms and models that can learn from user feedback and make predict ... Read More >>
• Aliasing: Aliasing is a phenomenon that occurs when a signal is sampled at a rate that is too low to accurately represent the original signal. This results in a distorted representation of the signal, where high-frequency components are misrepresente ... Read More >>