We lay the foundation in part one and explain how machine learning makes prediction better. We move to why these new advances are different from the statistics you learned in school or that your analysts might already conduct. We then consider a key complement to prediction, data, especially the types of data required to make good predictions, and how to know whether you have it. Finally, we delve into when prediction machines perform better than humans
