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The Florida State University Business Review (or the Business Review) is a student-run law review published at the Florida State University College of Law. The Business Review 's mission is: "Providing a scholarly forum for contemporary legal discourse and to address the issues and concerns transforming the business law community." [1] The ...
The journal was founded by Florida's First District Court of Appeals Judge Scott Makar in 1987, and is run by sixty student members and one staff assistant, with the aid of a faculty advisor. [2] The journal publishes articles , essays , and lectures .
The Florida Institute for Human & Machine Cognition (IHMC) is a not-for-profit research institute of the State University System of Florida, with locations in Pensacola and Ocala, Florida. IHMC scientists and engineers investigate a broad range of topics related to building systems aimed at amplifying and extending human cognitive, physical and ...
Regulation of algorithms, or algorithmic regulation, is the creation of laws, rules and public sector policies for promotion and regulation of algorithms, particularly in artificial intelligence and machine learning. [1] [2] [3] For the subset of AI algorithms, the term regulation of artificial intelligence is used.
The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning. It was established in 2000 and the first editor-in-chief was Leslie Kaelbling. [1] The current editors-in-chief are Francis Bach and David Blei (Columbia University).
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
The Florida State University Law Review publishes four issues per year, with each issue containing a collection of articles, essays, and student-written notes.The pieces are authored by academics, judges, clerks, attorneys, and current students of the College of Law.
Predictive analytics statistical techniques include data modeling, machine learning, AI, deep learning algorithms and data mining. Often the unknown event of interest is in the future, but predictive analytics can be applied to any type of unknown whether it be in the past, present or future.