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• Modeling: Modeling is the process of creating a mathematical representation of a real-world system or phenomenon. In data science and artificial intelligence, modeling refers to the process of creating a predictive model using statistical and machine ... 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 >>
• Token: In Data Science and Artificial Intelligence, a token refers to a sequence of characters that represents a unit of meaning for processing. Tokens are used in natural language processing (NLP) to break down text into smaller units for analysi ... Read More >>