Describe, in your own clear terms, the five key effects of prediction as described in the book and summarized in Appendix A.

Your supporting book (Predictive Analytics “The power to predict who will click, buy, lie, or die by Siegel) focuses on uses of data for prediction purposes, as opposed to other types of analysis that focus more on exploring the data, description, and visualization. Concerning uses of data for prediction as described in the book, Write a 3-4 page, single-spaced paper briefly summarizing the following: Describe, in your own clear terms, the five key effects of prediction as described in the book and summarized in Appendix A. From Chapter 3 The Data Effect, describe how data can mislead you and how you can avoid wrong conclusions. From Chapter 4 The Machine That Learns, the author tries to demystify the concept of machine learning and describes one technique, decision trees, in some detail. Describe in your own terms how decision trees work and their pros and cons. From both chapters 3 and 4, describe the concept of over-learning (also called over-fitting). What is one thing you learned that you can use in a current or future organizaticozon where you might work?

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