Clark's Tables- Science Data Book
Author: Boyd and Oliver
Publisher:
Published: 1971
Total Pages:
ISBN-13:
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Author: Boyd and Oliver
Publisher:
Published: 1971
Total Pages:
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DOWNLOAD EBOOKAuthor: Ralph. M. Tennent
Publisher:
Published: 1971
Total Pages: 105
ISBN-13: 9780050024874
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Publisher:
Published: 1985
Total Pages: 60
ISBN-13:
DOWNLOAD EBOOKAuthor: India. Department of Science and Technology
Publisher:
Published:
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DOWNLOAD EBOOKAuthor: National Research Council
Publisher: National Academies Press
Published: 1995-04-19
Total Pages: 80
ISBN-13: 0309176638
DOWNLOAD EBOOKThis book advises the National Archives and Records Administration and federal R&D agencies on the long-term retention of scientific and technical data, particularly in electronic formats. It proposes the creation of a National Scientific Information Resource Federation, which would apply a strategic data life-cycle management plan to better link the government's existing scientific data holdings and improve public access to those holdings. The book is expected to draw attention to data management concerns in the context of the current government emphasis on promoting a National Information Infrastructure and to make a significant contribution to improving the inadequate situation regarding our nation's valuable scientific data and information resources.
Author:
Publisher:
Published: 1992
Total Pages: 68
ISBN-13:
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Published: 1989
Total Pages: 0
ISBN-13:
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Publisher:
Published: 1984
Total Pages: 45
ISBN-13:
DOWNLOAD EBOOKAuthor: Arie Shoshani
Publisher: CRC Press
Published: 2009-12-16
Total Pages: 592
ISBN-13: 1420069810
DOWNLOAD EBOOKDealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Management: Challenges, Technology, and Deployment describes cutting-edge technologies and solutions for managing and analyzing vast amounts of data, helping
Author: John D. Kelleher
Publisher: MIT Press
Published: 2018-04-13
Total Pages: 282
ISBN-13: 0262347032
DOWNLOAD EBOOKA concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.