Question

Which of the following is NOT a take-home message from "Big Data, Machine Learning, and the Social Sciences"?

Careful error analysis improves your understanding of models you generate.
Data science teams should include one social scientist.
Data scientists should be question-driven, rather than data-driven or method-first.
The granularity of social data is why people now care and worry about big data.

Answer 1

The incorrect statement from the take-home messages is the claim that data science teams must include one social scientist. The discussion focuses on rigorous data collection, error analysis, a question-driven approach, and maintaining objectivity in the face of big data in society.

Step-by-step explanation:

The statement "Data science teams should include one social scientist" is NOT a take-home message from "Big Data, Machine Learning, and the Social Sciences." The materials provided emphasize the importance of rigorous data collection, error analysis, and the question-driven approach rather than the mandatory inclusion of a social scientist on data science teams. The materials further discuss the impact of big data in society, scientific inquiry, and the careful interpretation of data to avoid bias and maintain objectivity. Furthermore, the idea of granularity in social data contributing to why people worry about big data is a sentiment that aligns with the overarching discussions of data in modern society. Thus, the incorrect message pertains to the strict team composition rather than other concepts highlighted in the resources.