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• Anomaly Detection: Anomaly detection is the process of identifying data points or patterns that deviate from the expected behavior of a given dataset. In data science and artificial intelligence, anomaly detection is used to identify unusual or rare events, e ... Read More >>
• Overfitting: Overfitting is a common problem in machine learning where a model is trained too well on the training data and starts to memorize it instead of learning the underlying patterns. This results in a model that performs well on the training dat ... Read More >>
• Conjugate Prior: In Bayesian probability theory, a prior distribution is a probability distribution that expresses the degree of belief or uncertainty about the value of a parameter before observing the data. A conjugate prior is a prior distribution that b ... Read More >>