Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Big Data And Machine Learning In Sociology full books in PDF, epub, and Kindle. Read online Big Data And Machine Learning In Sociology ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Heinz Leitgöb
Publisher : Frontiers Media SA
ISBN 13 : 2832525148
Total Pages : 167 pages
Book Rating : 4.8/5 (325 download)
Download or read book Big data and machine learning in sociology written by Heinz Leitgöb and published by Frontiers Media SA. This book was released on 2023-06-05 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ian Foster
Publisher : CRC Press
ISBN 13 : 1000208591
Total Pages : 413 pages
Book Rating : 4.0/5 (2 download)
Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2020-11-17 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.
Author : Jonathan Roberge
Publisher : Springer Nature
ISBN 13 : 3030562867
Total Pages : 298 pages
Book Rating : 4.0/5 (35 download)
Download or read book The Cultural Life of Machine Learning written by Jonathan Roberge and published by Springer Nature. This book was released on 2020-11-30 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : George Ritzer
Publisher : John Wiley & Sons
ISBN 13 : 1119250633
Total Pages : 695 pages
Book Rating : 4.1/5 (192 download)
Download or read book The Wiley-Blackwell Companion to Sociology written by George Ritzer and published by John Wiley & Sons. This book was released on 2016-09-26 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Nathalie Japkowicz
Publisher : Springer
ISBN 13 : 3319269895
Total Pages : 329 pages
Book Rating : 4.3/5 (192 download)
Download or read book Big Data Analysis: New Algorithms for a New Society written by Nathalie Japkowicz and published by Springer. This book was released on 2015-12-16 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
Author : Uwe Engel
Publisher : Taylor & Francis
ISBN 13 : 1000448584
Total Pages : 417 pages
Book Rating : 4.0/5 (4 download)
Download or read book Handbook of Computational Social Science, Volume 1 written by Uwe Engel and published by Taylor & Francis. This book was released on 2021-11-10 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.
Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 303059338X
Total Pages : 648 pages
Book Rating : 4.0/5 (35 download)
Download or read book Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-12-14 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.
Author : Pushpa Singh
Publisher : Springer Nature
ISBN 13 : 9819704480
Total Pages : 357 pages
Book Rating : 4.8/5 (197 download)
Download or read book Data Analytics and Machine Learning written by Pushpa Singh and published by Springer Nature. This book was released on with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Garcia Marquez, Fausto Pedro
Publisher : IGI Global
ISBN 13 : 1799801071
Total Pages : 478 pages
Book Rating : 4.7/5 (998 download)
Download or read book Handbook of Research on Big Data Clustering and Machine Learning written by Garcia Marquez, Fausto Pedro and published by IGI Global. This book was released on 2019-10-04 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.
Author : Cecilia Aragon
Publisher : MIT Press
ISBN 13 : 0262543214
Total Pages : 201 pages
Book Rating : 4.2/5 (625 download)
Download or read book Human-Centered Data Science written by Cecilia Aragon and published by MIT Press. This book was released on 2022-03-01 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.
Author : Ian Foster
Publisher : CRC Press
ISBN 13 : 1498751431
Total Pages : 493 pages
Book Rating : 4.4/5 (987 download)
Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2016-08-10 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Yoshimichi Sato
Publisher : Springer Nature
ISBN 13 : 9819994322
Total Pages : 130 pages
Book Rating : 4.8/5 (199 download)
Download or read book Sociological Foundations of Computational Social Science written by Yoshimichi Sato and published by Springer Nature. This book was released on with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Justin Grimmer
Publisher : Princeton University Press
ISBN 13 : 0691207550
Total Pages : 360 pages
Book Rating : 4.6/5 (912 download)
Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
Author : Natasha Lushetich
Publisher : Routledge
ISBN 13 : 1000214605
Total Pages : 339 pages
Book Rating : 4.0/5 (2 download)
Download or read book Big Data—A New Medium? written by Natasha Lushetich and published by Routledge. This book was released on 2020-11-26 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Eleonora Bertoni
Publisher : Springer Nature
ISBN 13 : 3031166248
Total Pages : 497 pages
Book Rating : 4.0/5 (311 download)
Download or read book Handbook of Computational Social Science for Policy written by Eleonora Bertoni and published by Springer Nature. This book was released on 2023-01-23 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact.
Author : George Ritzer
Publisher : John Wiley & Sons
ISBN 13 : 1119429323
Total Pages : 581 pages
Book Rating : 4.1/5 (194 download)
Download or read book The Wiley Blackwell Companion to Sociology written by George Ritzer and published by John Wiley & Sons. This book was released on 2019-10-04 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new, updated edition of the authoritative and comprehensive survey of modern sociology The Wiley Blackwell Companion to Sociology, Second Edition is an authoritative survey of the major topics, current and emerging trends, and contemporary issues in the study of human social relationships and institutions. A collection of contributions from globally-recognized scholars and experts explore the theoretical and methodological foundations of sociology, new and established debates, and the most current research in the field. Broad in scope, this book covers a multitude of topics ranging from crime, urbanization, sexuality, and education to new questions surrounding big data, authoritarian capitalism, and the rise of nationalism. Since the first edition of the Companion was published, new developments have emerged and new problems have been created such as the omnipresence of social media, political and institutional upheaval, and the global refugee and immigration crises. This revised and updated second edition describes and explains social changes that have occurred in the past several years, both within the field of sociology and society as a whole. Previous material has been updated to reflect current research, while eleven new chapters address topics including feminist theory, debt and social change, and armed conflict and war. This comprehensive volume: Offers an engaging and accessible guide to the field of sociology, revised and updated for the second edition Presents wide-ranging, comprehensive coverage of the discipline Explores issues of contemporary relevance such as digital media and consumption Reflects state-of-the-art scholarship and contemporary debates New chapters for the second edition cover essential topics including feminist theory, armed conflict, big data, authoritarian capitalism, debt and social change, and the rise of nationalism The Wiley Blackwell Companion to Sociology, Second Edition is an invaluable resource for academics and graduate students, researchers, scholars, and educators in the discipline of sociology and allied fields such as anthropology, human geography, political science, and psychology.
Author : Thomas Janoski
Publisher : Cambridge University Press
ISBN 13 : 1108148093
Total Pages : 1412 pages
Book Rating : 4.1/5 (81 download)
Download or read book The New Handbook of Political Sociology written by Thomas Janoski and published by Cambridge University Press. This book was released on 2020-03-05 with total page 1412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Political sociology is a large and expanding field with many new developments, and The New Handbook of Political Sociology supplies the knowledge necessary to keep up with this exciting field. Written by a distinguished group of leading scholars in sociology, this volume provides a survey of this vibrant and growing field in the new millennium. The Handbook presents the field in six parts: theories of political sociology, the information and knowledge explosion, the state and political parties, civil society and citizenship, the varieties of state policies, and globalization and how it affects politics. Covering all subareas of the field with both theoretical orientations and empirical studies, it directly connects scholars with current research in the field. A total reconceptualization of the first edition, the new handbook features nine additional chapters and highlights the impact of the media and big data.
