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1) Describe each of three levels or categories of analytics that are most often viewed as sequential and independent, but also occasionally seen as overlapping

1) Describe each of three levels or categories of analytics that are most often viewed as sequential and independent, but also occasionally seen as overlapping (Descriptive, Predictive, and Prescriptive). Provide two examples of each.

2) Describe and define Big Data. Why is a search engine a Big Data application?

3) List and briefly discuss 5 major benefits of AI.

4) List five reasons for the growing popularity of data mining in the business world.

5) Describe in layman's terms two algorithms that are used for classification modeling (explain how the algorithms accomplish learning).

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Data Analytics and Applications Heres a breakdown of the concepts you requested 1 Levels of Analytics Descriptive Analytics This focuses on summarizing and describing past data It answers the question ... blur-text-image

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