The Nature Of Data

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The Nature of Data

Author : Jenny Goldstein
Publisher : U of Nebraska Press
ISBN 13 : 149623278X
Total Pages : 343 pages
Book Rating : 4.4/5 (962 download)

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Book Synopsis The Nature of Data by : Jenny Goldstein

Download or read book The Nature of Data written by Jenny Goldstein and published by U of Nebraska Press. This book was released on 2022-10 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: When we look at some of the most pressing issues in environmental politics today, it is hard to avoid data technologies. Big data, artificial intelligence, and data dashboards all promise “revolutionary” advances in the speed and scale at which governments, corporations, conservationists, and even individuals can respond to environmental challenges. By bringing together scholars from geography, anthropology, science and technology studies, and ecology, The Nature of Data explores how the digital realm is a significant site in which environmental politics are waged. This collection as a whole makes the argument that we cannot fully understand the current conjuncture in critical, global environmental politics without understanding the role of data platforms, devices, standards, and institutions. In particular, The Nature of Data addresses the contested practices of making and maintaining data infrastructure, the imaginaries produced by data infrastructures, the relations between state and civil society that data infrastructure reworks, and the conditions under which technology can further socio-ecological justice instead of re-entrenching state and capitalist power. This innovative volume presents some of the first research in this new but rapidly growing subfield that addresses the role of data infrastructures in critical environmental politics.

Describing Nature Through Visual Data

Author : Ursyn, Anna
Publisher : IGI Global
ISBN 13 : 1799857549
Total Pages : 367 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Describing Nature Through Visual Data by : Ursyn, Anna

Download or read book Describing Nature Through Visual Data written by Ursyn, Anna and published by IGI Global. This book was released on 2020-07-03 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: People have described nature since the beginning of human history. They do it for various purposes, including to communicate about economic, social, governmental, meteorological, sustainability-related, strategic, military, and survival issues as well as artistic expression. As a part of the whole world of living beings, we use various types of senses, known and unknown, labeled and not identified, to both communicate and create. Describing Nature Through Visual Data is a collection of impactful research that discusses issues related to the visualization of scientific concepts, picturing processes, and products, as well as the role of computing in advancing visual literacy skills. Organized into four sections, the book contains descriptions, theories, and examples of visual and music-based solutions concerning the selected natural or technological events that are shaping present-day reality. The chapters pertain to selected scientific fields, digital art, computer graphics, and new media and confer the possible ways that visuals, visualization, simulation, and interactive knowledge presentation can help us to understand and share the content of scientific thought, research, artistic works, and practice. Featuring coverage on topics that include mathematical thinking, music theory, and visual communication, this reference is ideal for instructors, professionals, researchers, and students keen on comprehending and enhancing the role of knowledge visualization in computing, sciences, design, media communication, film, advertising, and marketing.

The Nature of Data

Author : Jenny Goldstein
Publisher : U of Nebraska Press
ISBN 13 : 1496232771
Total Pages : 292 pages
Book Rating : 4.4/5 (962 download)

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Book Synopsis The Nature of Data by : Jenny Goldstein

Download or read book The Nature of Data written by Jenny Goldstein and published by U of Nebraska Press. This book was released on 2022-10 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: When we look at some of the most pressing issues in environmental politics today, it is hard to avoid data technologies. Big data, artificial intelligence, and data dashboards all promise "revolutionary" advances in the speed and scale at which governments, corporations, conservationists, and even individuals can respond to environmental challenges. By bringing together scholars from geography, anthropology, science and technology studies, and ecology, The Nature of Data explores how the digital realm is a significant site in which environmental politics are waged. This collection as a whole makes the argument that we cannot fully understand the current conjuncture in critical, global environmental politics without understanding the role of data platforms, devices, standards, and institutions. In particular, The Nature of Data addresses the contested practices of making and maintaining data infrastructure, the imaginaries produced by data infrastructures, the relations between state and civil society that data infrastructure reworks, and the conditions under which technology can further socio-ecological justice instead of re-entrenching state and capitalist power. This innovative volume presents some of the first research in this new but rapidly growing subfield that addresses the role of data infrastructures in critical environmental politics.

Quantitative Methods of Data Analysis for the Physical Sciences and Engineering

Author : Douglas G. Martinson
Publisher : Cambridge University Press
ISBN 13 : 1107029767
Total Pages : 631 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Quantitative Methods of Data Analysis for the Physical Sciences and Engineering by : Douglas G. Martinson

Download or read book Quantitative Methods of Data Analysis for the Physical Sciences and Engineering written by Douglas G. Martinson and published by Cambridge University Press. This book was released on 2018-09-20 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.

Analysis of Straight-line Data

Author : Forman S. Acton
Publisher :
ISBN 13 :
Total Pages : 312 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Analysis of Straight-line Data by : Forman S. Acton

Download or read book Analysis of Straight-line Data written by Forman S. Acton and published by . This book was released on 1966 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Nature of Statistical Learning Theory

Author : Vladimir Vapnik
Publisher : Springer Science & Business Media
ISBN 13 : 1475732643
Total Pages : 324 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis The Nature of Statistical Learning Theory by : Vladimir Vapnik

Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.

Spatial Analysis of Coastal Environments

Author : Sarah M. Hamylton
Publisher : Cambridge University Press
ISBN 13 : 1107070473
Total Pages : 339 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Spatial Analysis of Coastal Environments by : Sarah M. Hamylton

Download or read book Spatial Analysis of Coastal Environments written by Sarah M. Hamylton and published by Cambridge University Press. This book was released on 2017-04-13 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the spatial analytical tools needed to map, monitor and explain or predict coastal features, with accompanying online exercises.

Democratizing Our Data

Author : Julia Lane
Publisher : MIT Press
ISBN 13 : 0262542749
Total Pages : 187 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Democratizing Our Data by : Julia Lane

Download or read book Democratizing Our Data written by Julia Lane and published by MIT Press. This book was released on 2021-10-19 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: A wake-up call for America to create a new framework for democratizing data. Public data are foundational to our democratic system. People need consistently high-quality information from trustworthy sources. In the new economy, wealth is generated by access to data; government's job is to democratize the data playing field. Yet data produced by the American government are getting worse and costing more. In Democratizing Our Data, Julia Lane argues that good data are essential for democracy. Her book is a wake-up call to America to fix its broken public data system.

Nature Inspired Computing for Data Science

Author : Minakhi Rout
Publisher : Springer Nature
ISBN 13 : 3030338207
Total Pages : 303 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Nature Inspired Computing for Data Science by : Minakhi Rout

Download or read book Nature Inspired Computing for Data Science written by Minakhi Rout and published by Springer Nature. This book was released on 2019-11-26 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

The Fourth Paradigm

Author : Anthony J. G. Hey
Publisher :
ISBN 13 :
Total Pages : 292 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis The Fourth Paradigm by : Anthony J. G. Hey

Download or read book The Fourth Paradigm written by Anthony J. G. Hey and published by . This book was released on 2009 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword. A transformed scientific method. Earth and environment. Health and wellbeing. Scientific infrastructure. Scholarly communication.

Catalyzing Inquiry at the Interface of Computing and Biology

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 030909612X
Total Pages : 469 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Catalyzing Inquiry at the Interface of Computing and Biology by : National Research Council

Download or read book Catalyzing Inquiry at the Interface of Computing and Biology written by National Research Council and published by National Academies Press. This book was released on 2006-01-01 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in computer science and technology and in biology over the last several years have opened up the possibility for computing to help answer fundamental questions in biology and for biology to help with new approaches to computing. Making the most of the research opportunities at the interface of computing and biology requires the active participation of people from both fields. While past attempts have been made in this direction, circumstances today appear to be much more favorable for progress. To help take advantage of these opportunities, this study was requested of the NRC by the National Science Foundation, the Department of Defense, the National Institutes of Health, and the Department of Energy. The report provides the basis for establishing cross-disciplinary collaboration between biology and computing including an analysis of potential impediments and strategies for overcoming them. The report also presents a wealth of examples that should encourage students in the biological sciences to look for ways to enable them to be more effective users of computing in their studies.

How Nature Works

Author : Per Bak
Publisher : Springer Science & Business Media
ISBN 13 : 1475754264
Total Pages : 229 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis How Nature Works by : Per Bak

Download or read book How Nature Works written by Per Bak and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-organized criticality, the spontaneous development of systems to a critical state, is the first general theory of complex systems with a firm mathematical basis. This theory describes how many seemingly desperate aspects of the world, from stock market crashes to mass extinctions, avalanches to solar flares, all share a set of simple, easily described properties. "...a'must read'...Bak writes with such ease and lucidity, and his ideas are so intriguing...essential reading for those interested in complex systems...it will reward a sufficiently skeptical reader." -NATURE "...presents the theory (self-organized criticality) in a form easily absorbed by the non-mathematically inclined reader." -BOSTON BOOK REVIEW "I picture Bak as a kind of scientific musketeer; flamboyant, touchy, full of swagger and ready to join every fray... His book is written with panache. The style is brisk, the content stimulating. I recommend it as a bracing experience." -NEW SCIENTIST

Basic Methods Handbook for Clinical Orthopaedic Research

Author : Volker Musahl
Publisher : Springer
ISBN 13 : 3662582546
Total Pages : 584 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Basic Methods Handbook for Clinical Orthopaedic Research by : Volker Musahl

Download or read book Basic Methods Handbook for Clinical Orthopaedic Research written by Volker Musahl and published by Springer. This book was released on 2019-02-01 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to meet the needs of both novice and senior researchers in Orthopaedics by providing the essential, clinically relevant knowledge on research methodology that is sometimes overlooked during training. Readers will find a wealth of easy-to-understand information on all relevant aspects, from protocol design, the fundamentals of statistics, and the use of computer-based tools through to the performance of clinical studies with different levels of evidence, multicenter studies, systematic reviews, meta-analyses, and economic health care studies. A key feature is a series of typical case examples that will facilitate use of the volume as a handbook for most common research approaches and study types. Younger researchers will also appreciate the guidance on preparation of abstracts, poster and paper presentations, grant applications, and publications. The authors are internationally renowned orthopaedic surgeons with extensive research experience and the book is published in collaboration with ISAKOS.

Machine Learners

Author : Adrian Mackenzie
Publisher : MIT Press
ISBN 13 : 0262036827
Total Pages : 269 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Machine Learners by : Adrian Mackenzie

Download or read book Machine Learners written by Adrian Mackenzie and published by MIT Press. This book was released on 2017-11-16 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms—writing code and writing about code—and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures. Mackenzie's account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.

The Better Angels of Our Nature

Author : Steven Pinker
Publisher : Penguin Books
ISBN 13 : 0143122010
Total Pages : 834 pages
Book Rating : 4.1/5 (431 download)

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Book Synopsis The Better Angels of Our Nature by : Steven Pinker

Download or read book The Better Angels of Our Nature written by Steven Pinker and published by Penguin Books. This book was released on 2012-09-25 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: Faced with the ceaseless stream of news about war, crime, and terrorism, one could easily think this is the most violent age ever seen. Yet as bestselling author Pinker shows in this startling and engaging new work, just the opposite is true.

Nature-Inspired Computation in Data Mining and Machine Learning

Author : Xin-She Yang
Publisher : Springer Nature
ISBN 13 : 3030285537
Total Pages : 273 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Nature-Inspired Computation in Data Mining and Machine Learning by : Xin-She Yang

Download or read book Nature-Inspired Computation in Data Mining and Machine Learning written by Xin-She Yang and published by Springer Nature. This book was released on 2019-09-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.

The Black Box Society

Author : Frank Pasquale
Publisher : Harvard University Press
ISBN 13 : 0674967100
Total Pages : 320 pages
Book Rating : 4.6/5 (749 download)

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Book Synopsis The Black Box Society by : Frank Pasquale

Download or read book The Black Box Society written by Frank Pasquale and published by Harvard University Press. This book was released on 2015-01-05 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives. Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior. Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.