Harvard University offers seven free online data science courses lasting eight to nine weeks with one to two hours of study ...
Harvard University has announced a set of free online data science courses, giving learners an opportunity to build skills ...
The past decade has witnessed significant advances in causal inference and Bayesian network learning, two intertwined disciplines that allow researchers to discern underlying cause‐and‐effect ...
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 ...
Yılmaz, Övünç; Son, Yoonseock; Shang, Guangzhi; Arslan, Hayri A. Causal inference under selection on observables in operations management research: Matching methods and synthetic controls. Journal of ...
Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, ...
The granted patents span innovations in causal inference, large language model (LLM) training, AI-powered correlation, ...
Selector, the industry leader in AI-powered network operations intelligence, today announced that the United States Patent and Trademark Office (USPTO) has granted eight foundational patents to the ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results