Rayid Ghani, Malte Schierholz
Machine Learning

S. 147-186 in: Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane (Hrsg.): Big Data and Social Science: A Practical Guide to Methods and Tools. 2017. Boca Raton: Chapman and Hall/CRC
[Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences]

This chapter introduces you to the value of machine learning in the social sciences, particularly focusing on the overall machine learn- ing process as well as clustering and classification methods. You will get an overview of the machine learning pipeline and methods and how those methods are applied to solve social science problems. The goal is to give an intuitive explanation for the methods and to provide practical tips on how to use them in practice.