Thick Big Data: Doing Digital Social Sciences, Jemielniak Dariusz
Автор: Zachary C. Steinert-Threkeld Название: Twitter as Data ISBN: 1108438334 ISBN-13(EAN): 9781108438339 Издательство: Cambridge Academ Рейтинг: Цена: 19010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Twitter presents an ideal combination of size, international reach, and data accessibility that make it a useful data source. Acquiring, cleaning, and analyzing these data, however, require new tools and processes. This Element introduces these methods and provides scripts and examples for downloading, processing, and analyzing Twitter data.
Автор: Richard Rogers Название: Doing Digital Methods ISBN: 1526444712 ISBN-13(EAN): 9781526444714 Издательство: Sage Publications Рейтинг: Цена: 135170.00 T Наличие на складе: Поставка под заказ. Описание: From building a URL list to discover internet censorship to making Twitter API outputs tell stories, Doing Digital Methods teaches the reader how to use digital devices, search engines and social media platforms to study some of the most urgent social issues of our time.
Автор: Jemielniak, Dariusz (full Professor Of Management, Full Professor Of Management, Kozminski University) Название: Thick big data ISBN: 0198839715 ISBN-13(EAN): 9780198839712 Издательство: Oxford Academ Рейтинг: Цена: 36420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Thick Big Data presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. These tools are critical for students and researchers in the social sciences to successfully build mixed-methods approaches.
Автор: Luckey Название: Membrane Structural Biology ISBN: 1107030633 ISBN-13(EAN): 9781107030633 Издательство: Cambridge Academ Рейтинг: Цена: 62310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook provides a strong foundation and comprehensive overview for students and an invaluable synthesis of cutting-edge research for working scientists. This second edition is expanded to include and make accessible all the latest developments and topics, with more than twenty new high resolution structures. Links between membrane research and human health are emphasised throughout.
Название: Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes) ISBN: 9811204446 ISBN-13(EAN): 9789811204449 Издательство: World Scientific Publishing Рейтинг: Цена: 950400.00 T Наличие на складе: Невозможна поставка. Описание: This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.
Автор: Jannis Grimm, Kevin Koehler, Ellen M. Lust, Ilyas Saliba, Isabell Schierenbeck Название: Safer Field Research in the Social Sciences: A Guide to Human and Digital Security in Hostile Environments ISBN: 152970104X ISBN-13(EAN): 9781529701043 Издательство: Sage Publications Рейтинг: Цена: 44340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: From research preparations to post-research debriefing, this book covers every stage of the social research process, outlining how to undertake fieldwork as safely as possible.
Автор: Jannis Grimm, Kevin Koehler, Ellen M. Lust, Ilyas Saliba, Isabell Schierenbeck Название: Safer Field Research in the Social Sciences: A Guide to Human and Digital Security in Hostile Environments ISBN: 1529701058 ISBN-13(EAN): 9781529701050 Издательство: Sage Publications Рейтинг: Цена: 125670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: From research preparations to post-research debriefing, this book covers every stage of the social research process, outlining how to undertake fieldwork as safely as possible.
Автор: Cristina Costa, Jenna Condie Название: Doing research in and on the digital ISBN: 1138673919 ISBN-13(EAN): 9781138673915 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Нет в наличии. Описание: Doing Research In and On the Digital aims to deliver on two fronts; first, by detailing how researchers are devising and applying innovative research methods for and within the digital sphere and secondly; by discussing the ethical challenges and issues implied and encountered in such approaches.
Автор: Samantha Kleinberg Название: Time and Causality Across the Sciences ISBN: 1108476678 ISBN-13(EAN): 9781108476676 Издательство: Cambridge Academ Рейтинг: Цена: 61240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an entry point for researchers in any field, bringing together perspectives collected from a large body of work on causality across disciplines. Topics include whether quantum mechanics allows causes to precede their effects, the integration of mechanisms, and insight into the role played by intervention and timing information.
Автор: Natasa Przulj Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists ISBN: 110842175X ISBN-13(EAN): 9781108421751 Издательство: Cambridge Academ Рейтинг: Цена: 95030.00 T Наличие на складе: Поставка под заказ. Описание: The increased and widespread availability of large network data resources in recent years has resulted in the increased need for effective methods for the analysis of these networks. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straight forward task because of the size of the data sets and the computer power required for the analyses. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this inter-disciplinary text provides an ideal introduction to and insight into the field of network data analysis.
Автор: Digital Colibri, Lai Rudy, Potaczek Bartlomiej Название: Hands-On Big Data Analytics with PySpark ISBN: 183864413X ISBN-13(EAN): 9781838644130 Издательство: Неизвестно Рейтинг: Цена: 31870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, you`ll learn to implement some practical and proven techniques to improve aspects of programming and administration in Apache Spark. Techniques are demonstrated using practical examples and best practices. You will also learn how to use Spark and its Python API to create performant analytics with large-scale data.
Автор: Hayler Matt Название: Research Methods for Digitising and Curating Data in the Dig ISBN: 1474409652 ISBN-13(EAN): 9781474409650 Издательство: Bloomsbury Academic Рейтинг: Цена: 31670.00 T Наличие на складе: Поставка под заказ. Описание:
The first volume to focus on digitising and curating data online as research methods for Digital Humanities
As all scholars increasingly use digital tools to support their research, and every internet user becomes used to data being available, elucidating, and engaging, the creative aspects of Digital Humanities work are coming under increasing scrutiny. This volume explores the practice of making new tools, new images, new collections, and new artworks in an academic environment, detailing who needs to be involved and what their roles might be, and how they come together to produce knowledge as a collective. The chapters presented here demonstrate that creation is never neutral with political and theoretical concerns intentionally or unavoidably always being written into the fabric of what is being made, even if that's the seeming neatness of computer code. In presenting their own creative research, the writers in this volume offer examples of practice that will be of use to anyone interested in learning more about contemporary Digital Humanities scholarship and its implications.
Key features:
First volume to explore digitisation practices as research methods for Humanities scholars
Provides a practical and critical approach to issues of digitisation
Discusses actual digitisation projects on a 'how-to' basis
Addresses issues such as digital photography, multi-spectral imaging, rekeying, metadata, online simulation, artistic practice online
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