Big Data And Machine Learning In Sociology
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Big Data And Machine Learning In Sociology
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Author : Heinz Leitgöb
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-05
Big Data And Machine Learning In Sociology written by Heinz Leitgöb and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Science categories.
Social Big Data Mining
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Author : Hiroshi Ishikawa
language : en
Publisher: CRC Press
Release Date : 2015-03-25
Social Big Data Mining written by Hiroshi Ishikawa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-25 with Computers categories.
This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains
The Wiley Blackwell Companion To Sociology
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Author : George Ritzer
language : en
Publisher: John Wiley & Sons
Release Date : 2016-09-26
The Wiley Blackwell Companion To Sociology written by George Ritzer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-26 with Social Science categories.
Featuring a collection of original chapters by leading and emerging scholars, The Wiley-Blackwell Companion to Sociology presents a comprehensive and balanced overview of the major topics and emerging trends in the discipline of sociology today. Features original chapters contributed by an international cast of leading and emerging sociology scholars Represents the most innovative and 'state-of-the-art' thinking about the discipline Includes a general introduction and section introductions with chapters summaries by the editor
Big Data And Social Science
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Author : Ian Foster
language : en
Publisher: CRC Press
Release Date : 2016-08-10
Big Data And Social Science written by Ian Foster and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-10 with Mathematics categories.
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.
The Oxford Handbook Of The Sociology Of Machine Learning
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Author : Juan Pablo Pardo-Guerra
language : en
Publisher: Oxford University Press
Release Date : 2025-04
The Oxford Handbook Of The Sociology Of Machine Learning written by Juan Pablo Pardo-Guerra and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04 with Social Science categories.
Machine learning, renowned for its ability to detect patterns in large datasets, has seen a significant increase in applications and complexity since the early 2000s. The Oxford Handbook of the Sociology of Machine Learning offers a state-of-the-art and forward-looking overview of the intersection between machine learning and sociology, exploring what sociology can gain from machine learning and how it can shed new light on the societal implications of this technology. Through its 39 chapters, an international group of sociologists address three key questions. First, what can sociologists yield from using machine learning as a methodological tool? This question is examined across various data types, including text, images, and sound, with insights into how machine learning and ethnography can be combined. Second, how is machine learning being used throughout society, and what are its consequences? The Handbook explores this question by examining the assumptions and infrastructures behind machine learning applications, as well as the biases they might perpetuate. Themes include art, cities, expertise, financial markets, gender, race, intersectionality, law enforcement, medicine, and the environment, covering contexts across the Global South and Global North. Third, what does machine learning mean for sociological theory and theorizing? Chapters examine this question through discussions on agency, culture, human-machine interaction, influence, meaning, power dynamics, prediction, and postcolonial perspectives. The Oxford Handbook of the Sociology of Machine Learning is an essential resource for academics and students interested in artificial intelligence, computational social science, and the role and implications of machine learning in society.
Big Data In Education
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Author : Ben Williamson
language : en
Publisher: SAGE
Release Date : 2017-07-24
Big Data In Education written by Ben Williamson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-24 with Education categories.
Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!
Big Data A New Medium
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Author : Natasha Lushetich
language : en
Publisher: Routledge
Release Date : 2020-11-26
Big Data A New Medium written by Natasha Lushetich and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-26 with Computers categories.
Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the big data phenomenon. Big data architectures are increasingly transforming political questions into technical management by determining classificatory systems in the social, educational, and healthcare realms. Data, and their multiple arborisations, have become new epistemic landscapes. They have also become new existential terrains. The fundamental question is: can big data be seen as a new medium in the way photography or film were when they first appeared? No new medium is ever truly new. It’s always remediation of older media. What is new is the medium’s re-articulation of the difference between here and there, before and after, yours and mine, knowable and unknowable, possible and impossible. This transdisciplinary volume, incorporating cultural and media theory, art, philosophy, history, and political philosophy is a key resource for readers interested in digital humanities, cultural, and media studies.
The Cultural Life Of Machine Learning
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Author : Jonathan Roberge
language : en
Publisher: Springer Nature
Release Date : 2020-11-30
The Cultural Life Of Machine Learning written by Jonathan Roberge and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Social Science categories.
This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and information studies to address the origins, practices, and possible futures of contemporary machine learning. From its foundations in 1950s and 1960s pattern recognition and neural network research to the modern-day social and technological dramas of DeepMind’s AlphaGo, predictive political forecasting, and the governmentality of extractive logistics, machine learning has become controversial precisely because of its increased embeddedness and agency in our everyday lives. How can we disentangle the history of machine learning from conventional histories of artificial intelligence? How can machinic agents’ capacity for novelty be theorized? Can reform initiatives for fairness and equity in AI and machine learning be realized, or are they doomed to cooptation and failure? And just what kind of “learning” does machine learning truly represent? We empirically address these questions and more to provide a baseline for future research. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Handbook Of Sociological Science
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Author : Gërxhani, Klarita
language : en
Publisher: Edward Elgar Publishing
Release Date : 2022-06-10
Handbook Of Sociological Science written by Gërxhani, Klarita and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-10 with Social Science categories.
22 out of the 26 Chapters will be available Open Access on Elgaronline when the book is published. The Handbook of Sociological Science offers a refreshing, integrated perspective on research programs and ongoing developments in sociological science. It highlights key shared theoretical and methodological features, thereby contributing to progress and cumulative growth of sociological knowledge.
Ai Use In Social Sciences
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Author : Demircioğlu, Aytekin
language : en
Publisher: IGI Global
Release Date : 2025-06-18
Ai Use In Social Sciences written by Demircioğlu, Aytekin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Social Science categories.
Artificial intelligence (AI)-based technologies are significantly impacting various social science disciplines. With the large data sets that are analyzed, technologies such as machine learning (ML), natural language processing (NLP), and neural networks are particularly useful in disciplines such as sociology, psychology, political science, anthropology, and economics. Thus, social science education and research benefit by the ability of AI to effectively analyze data sets, predict, and increase interactivity. However, ethical concerns regarding privacy and algorithm bias cause some to be resistant to adopting the use of AI in social science fields. Thus, it is crucial to consider the ethical consequences while exploring the multifaceted impact of AI on education, research, and social sciences. AI Use in Social Sciences explores the opportunities and challenges AI provides to the field of social sciences. It presents practical applications of AI and the societal implications they have. Covering topics such as, philosophy teaching, economic policy, and unified theory of acceptance and use of technology (UTAUT), this book is an excellent resource for social scientists, teachers, ethicists, policymakers, researchers, professionals, scholars, academicians, and more.