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HCA Healthcare, Inc. is an American for-profit operator of health care facilities that was founded in 1968. It is based in Nashville, Tennessee, and, as of May 2020, owned and operated 186 hospitals and approximately 2,400 sites of care, including surgery centers, freestanding emergency rooms, urgent care centers and physician clinics in 20 states and the United Kingdom. [6]
New Milestone Achieved: Three Million Subscribers Implemented on the HealthStream Learning Center™ NASHVILLE, Tenn.--(BUSINESS WIRE)-- HealthStream (NAS: HSTM) , a leading provider of learning ...
Hierarchical clustering. In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two categories:
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters). It is a main task of exploratory data analysis, and a common technique for statistical ...
Cluster analysis, a fundamental task in data mining and machine learning, involves grouping a set of data points into clusters based on their similarity. k -means clustering is a popular algorithm used for partitioning data into k clusters, where each cluster is represented by its centroid.
Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. [1][2][3] Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data. Statistical learning theory has led to successful applications in fields such as ...
Project-based learning is a teaching method that involves a dynamic classroom approach in which it is believed that students acquire a deeper knowledge through active exploration of real-world challenges and problems. [1] Students learn about a subject by working for an extended period of time to investigate and respond to a complex question ...
Federated learning (also known as collaborative learning) is a sub-field of machine learning focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1] This stands in contrast to machine learning settings in which data is centrally stored ...