When we talk about the limits of data science, we often revert to issues like scalability, or the lack of talent. But there's another burning question that data science projects overlook at their ...
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach ...
Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...
Researchers from Beijing Institute of Technology and other leading institutions have developed a novel approach for improving ...
Harvard University is providing seven free online courses in data science, each running for eight to nine weeks and requiring one to two hours of study per week. Applications are open until June 17, ...
In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...
Google DeepMind has named Jasjeet "Jas" Sekhon its new Chief Strategy Officer on March 18. Sekhon is not a product executive ...
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