Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in... moreAssociation rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases.
The Apriori algorithm uses frequent itemsets to generate association rules, and it is designed to work on the da...
Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a... moreBayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especiall...
Generative modeling is an unsupervised learning task in machine learning that involves automatically discovering and... moreGenerative modeling is an unsupervised learning task in machine learning that involves automatically discovering and learning the regularities or patterns in input data in such a way that the model can be used to generate or output new examples that plaus...
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