The paper by Hal R. Varian: "Big Data: New Tricks for Econometrics"
"I believe that these methods have a lot to offer and should be more widely known and used by economists. In fact, my standard advice to graduate students these days is "go to the computer science department and take a class in machine learning." There have been very fruitful collaborations between computer scientists and statisticians in the last decade or so, and I expect collaborations between computer scientists and econometricians will also be productive in the future."
The Computer Science and Engineering Distinguished Lecture of Susan Athey: Machine Learning Meets Economics: Using Theory, Data, and Experiments to Design Markets