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Author : Tennent
Publisher : Pearson Education India
ISBN 13 : 9788177581515
Total Pages : 108 pages
Book Rating : 4.5/5 (815 download)
Download or read book Clark'S Tables: Science Data Book written by Tennent and published by Pearson Education India. This book was released on 2006-09 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (143 download)
Download or read book Science and technology pocket data book written by and published by . This book was released on 1989 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.:/5 (31 download)
Download or read book Science and Technology Data Book written by and published by . This book was released on 1985 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.:/5 (31 download)
Download or read book Science and Technology Pocket Data Book written by and published by . This book was released on 1992 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Steering Committee for the Study on the Long-Term Retention of Selected Scientific and Technical Records of the Federal Government
Publisher : National Academies Press
ISBN 13 : 0309521068
Total Pages : 81 pages
Book Rating : 4.3/5 (95 download)
Download or read book Preserving Scientific Data on Our Physical Universe written by Steering Committee for the Study on the Long-Term Retention of Selected Scientific and Technical Records of the Federal Government and published by National Academies Press. This book was released on 1995-05-03 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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 : Arie Shoshani
Publisher : CRC Press
ISBN 13 : 1420069810
Total Pages : 592 pages
Book Rating : 4.4/5 (2 download)
Download or read book Scientific Data Management written by Arie Shoshani and published by CRC Press. This book was released on 2009-12-16 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dealing 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
ISBN 13 : 0262347032
Total Pages : 280 pages
Book Rating : 4.2/5 (623 download)
Download or read book Data Science written by John D. Kelleher and published by MIT Press. This book was released on 2018-04-13 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: A 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.
Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 030917497X
Total Pages : 249 pages
Book Rating : 4.3/5 (91 download)
Download or read book Bits of Power written by National Research Council and published by National Academies Press. This book was released on 1997-08-07 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since Galileo corresponded with Kepler, the community of scientists has become increasingly international. A DNA sequence is as significant to a researcher in Novosibirsk as it is to one in Pasadena. And with the advent of electronic communications technology, these experts can share information within minutes. What are the consequences when more bits of scientific data cross more national borders and do it more swiftly than ever before? Bits of Power assesses the state of international exchange of data in the natural sciences, identifying strengths, weaknesses, and challenges. The committee makes recommendations about access to scientific data derived from public funding. The volume examines: Trends in the electronic transfer and management of scientific data. Pressure toward commercialization of scientific data, including the economic aspects of government dissemination of the data. The implications of proposed changes to intellectual property laws and the role of scientists in shaping legislative and legal solutions. Improving access to scientific data by and from the developing world. Bits of Power explores how these issues have been addressed in the European Community and includes examples of successful data transfer activities in the natural sciences. The book will be of interest to scientists and scientific data managers, as well as intellectual property rights attorneys, legislators, government agencies, and international organizations concerned about the electronic flow of scientific data.
Author : Derek McMonagle
Publisher : HarperCollins
ISBN 13 : 9780004708768
Total Pages : 256 pages
Book Rating : 4.7/5 (87 download)
Download or read book Science Data written by Derek McMonagle and published by HarperCollins. This book was released on 1996-06-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Manjunath.R
Publisher : Manjunath.R
ISBN 13 :
Total Pages : 581 pages
Book Rating : 4./5 ( download)
Download or read book Science Data Booklet written by Manjunath.R and published by Manjunath.R. This book was released on 2020-07-11 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the nature. This booklet is designed to place less emphasis on factual material and greater emphasis on the understanding and application of scientific concepts and principles. This booklet has been designed in recognition of the need for students to develop skills that will be of long term value in an increasingly technological world rather than focusing on large quantities of factual material which may have only short term relevance.
Author :
Publisher :
ISBN 13 :
Total Pages : 1080 pages
Book Rating : 4.3/5 ( download)
Download or read book NASA Historical Data Book written by and published by . This book was released on 1988 with total page 1080 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 : 9781119183686
Total Pages : pages
Book Rating : 4.1/5 (836 download)
Download or read book Data Science and Big Data Analytics written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about harnessing the power of data for new insights and covers the breadth of activities and methods and tools that data scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. It will help you become a contributor on a data science team; deploy a structured lifecycle approach to data analytics problems; apply appropriate analytic techniques and tools to analyzing big data; learn how to tell a compelling story with data to drive business action; prepare for EMC Proven Professional data science certification. --
Author : Graham Currell
Publisher : Oxford University Press, USA
ISBN 13 : 0198712545
Total Pages : 353 pages
Book Rating : 4.1/5 (987 download)
Download or read book Scientific Data Analysis written by Graham Currell and published by Oxford University Press, USA. This book was released on 2015 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the author's extensive experience of supporting students undertaking projects, 'Scientific Data Analysis' is a guide for any science undergraduate or beginning graduate who needs to analyse their own data, and wants a clear, step-by-step description of how to carry out their analysis in a robust, error-free way.
Author : Peter Bruce
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492072893
Total Pages : 368 pages
Book Rating : 4.4/5 (92 download)
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2020-04-10 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data
Author :
Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.F/5 ( download)
Download or read book Databook - National Science Foundation written by and published by . This book was released on 1973 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : National Science Foundation (U.S.)
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.:/5 (998 download)
Download or read book Databook, National Science Foundation written by National Science Foundation (U.S.) and published by . This book was released on 1973 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alan Agresti
Publisher : CRC Press
ISBN 13 : 1000462919
Total Pages : 486 pages
Book Rating : 4.0/5 (4 download)
Download or read book Foundations of Statistics for Data Scientists written by Alan Agresti and published by CRC Press. This book was released on 2021-11-22 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on "why it works" as well as "how to do it." Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python. The book also introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized linear models for non-normal responses (e.g., logistic regression and Poisson loglinear models), and regularized model fitting. The nearly 500 exercises are grouped into "Data Analysis and Applications" and "Methods and Concepts." Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's website has expanded R, Python, and Matlab appendices and all data sets from the examples and exercises.
