What is the dissimilarity between structural independence and data independence?
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What is the dissimilarity between structural independence and data independence?
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- In what scenarios might a denormalized data model be preferred over a normalized one?What is the difference between discrimination and classification? Between characterization and clustering? Between classification and regression? For each of these pairs of tasks, how are they similar?What Are The Feature Selection with Attributes Clustering by Maximal Information Coefficient?
- 3. Naïve Bayes Models Describe a classification task from your experience and represent it as a Naïve Bayes model. Make sure to explicitly specify both the labels and the features. You do not need to specify the values of the parameters (those would come from data!). To what extent are the independence assumptions made by a Naïve Bayes model reasonable in your task?Can cardinality between individuals be translated/read from both ends of the notation while dealing with database modeling of relationships? In other terms, does a partnership between individuals understand to read back and forth?Should the cardinality between entities be translated/read from both ends of the notation when dealing with database entity relationship modeling? To put it another way, can a connection between two things be comprehended by reading it both forward and backward?