Explain three canonical models in Bayesian networks

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Assignment Questions -

Question 1 - Discuss and image how the main ideas behind Bayesian network analysis can be applied to Retail Analysis. Please give examples when possible. Try to illustrate the power of this technique as well as explain why such methods are robust and go well beyond multiple-regression. Try to be imaginative and take a managerial stance. [250 words].

Question 2 - Explain and give examples of the three canonical models in Bayesian networks. Give practical examples in Retail analytics. Be careful to talk about the flow of information and the special characteristics of each canonical model. [350 words].

Question 3 - Compare and in terms of advantages and disadvantages the main techniques used for Recommender systems, Opinion mining and sentiment analysis in retail. Discuss and imagine possible future evolutions and usages. [350 words].

Reference no: EM132492214

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