Download or read book Canadian Government Publications written by and published by . This book was released on 1974 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book Canadian Government Publications written by Canada. Department of Supply and Services and published by . This book was released on 1974 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Geological Survey Professional Paper written by and published by . This book was released on 1974 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book Great Lakes Hydrometeorologic and Hydraulic Data Needs written by International Great Lakes Technical Information Network Board and published by . This book was released on 1984 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book OECD Economic Surveys Canada 2012 written by OECD and published by OECD Publishing. This book was released on 2012-06-13 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: OECD's 2012 survey of the Canadian economy examines recent economic developments, policies and prospects, and takes a special look at business innovation and tertiary education.
Download or read book Paper Geological Survey of Canada written by and published by . This book was released on 1978 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book Index of NLM Serial Titles written by National Library of Medicine (U.S.) and published by . This book was released on 1984 with total page 1516 pages. Available in PDF, EPUB and Kindle. Book excerpt: A keyword listing of serial titles currently received by the National Library of Medicine.
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Download or read book Hydraulic Research in the United States and Canada 1972 written by Gershon Kulin and published by . This book was released on 1974 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book Big Data Meets Survey Science written by Craig A. Hill and published by John Wiley & Sons. This book was released on 2020-09-29 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.