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USA Today Index
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Manual de preparación para la Olimpiada Internacional de Lógica
El presente manual es el resultado de años de trabajo y preparación por parte del equipo del Proyecto Cantera. Explica de manera detallada técnicas, estrategias y pistas en la resolución de los ejercicios que pueden encontrarse en los exámenes de la OIL.
Analyzing the Analyzers
Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking. Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths. This report describes: Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data Researchers Cases in miscommunication between data scientists and organizations looking to hire Why "T-shaped" data scientists have an advantage in breadth and depth of skills How organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists
Hermeneútica
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MRI Wrist & Hand
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