Describe how data can mislead you and how you can avoid wrong conclusions.

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