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Historical Dictionary of Cycling
The nearly 150-year-old sport of cycling had its first competition in France in 1868. Soon afterward, the need arose for purpose-built cycling tracks because of poor road conditions at the time. Racing on blocked off pieces of street or grass soon evolvedinto racing on special tracks called velodromes. This development marked the split into what are still the two main forms of cycling competition: road racing and track racing. Initially, track cycling was more popular in terms of public attention and money to be earned by racers, but this gradually changed in favor of road racing, which has been the most popular form of cycling since at least the end of World War II. The Historical Dictionar...
USA Today Index
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Mexican Political Biographies, 1935-2009
"Teresa Lozano Long Institute of Latin American Studies."
Interpretando la experiencia de la tolerancia
Este libro es parte de la colección e-Libro en BiblioBoard.
MRI Wrist & Hand
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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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