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• Investments: In Data Science, investments refer to the allocation of resources, such as time, money, and personnel, towards projects or initiatives that are expected to generate a return on investment (ROI) through the use of data-driven insights and an ... Read More >>
• Posterior Distributions: In Bayesian statistics, posterior distributions are probability distributions that represent the updated beliefs about the parameters of a statistical model after taking into account new data. The posterior distribution is obtained by combi ... Read More >>
• Naive Bayes Classifiers: Naive Bayes classifiers are a family of probabilistic algorithms used for classification tasks in machine learning and data science. They are based on Bayes' theorem, which describes the probability of an event based on prior knowledge of c ... Read More >>