ABSTRACT
This book has mostly been dedicated to large-scale computing and machine learning algorithms. These tools help us describe the relationships between variables in vast, complex datasets. This chapter goes one step further by introducing methods, as well as their limitations, to learn causal relationships from these data. Consider, for example, the following questions:
1. What proportion of patients taking drug X suffered adverse side effects?
