Data science as the application of theoretical knowledge

Statistical Modeling, Causal Inference, and Social Science 2016-07-04

Summary:

Patrick Atwater writes: Insights that “much of what’s hard looks easy” and it’s about “getting the damn data” highlight important points that much of the tech-ey industry dominating definitions overlook in the excitement about production ML recommendation systems and the like. Working to build from that grounded perspective, I penned together a quick piece digging […]

The post Data science as the application of theoretical knowledge appeared first on Statistical Modeling, Causal Inference, and Social Science.

Link:

http://andrewgelman.com/2016/07/03/29469/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

miscellaneous statistics

Authors:

Andrew

Date tagged:

07/04/2016, 06:54

Date published:

07/03/2016, 09:53