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"you are not expected to understand this"
Torie Bosch, Kelly Chudler, Ellen Ullman,Leading technologists, historians, and journalists reveal the stories behind the computer coding that touches all aspects of life—for better or worseFew of us give much thought to computer code or how it comes to be. The very word “code” makes it sound immutable or even inevitable. “You Are Not E...
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Causal inference with differences-in-differences
Clément de Chaisemartin, Xavier D'Haultfoeuille,A comprehensive, rigorous introduction to modern differences-in-differences (DiD) estimators, covering both standard practices and alternativesDifferences-in-differences (DiD) is one of the most widely used methods for impact-evaluation in economics and the social sciences. The key idea behind Di...
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Data alchemy in the insurance industry
This collected edition provides a comprehensive and practical roadmap for insurers, data scientists, technologists, and insurance enthusiasts alike, to navigate the data-driven revolution that is sweeping the insurance landscape.
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Data analysis for social science
Elena Llaudet, Kosuke Imai,An ideal textbook for complete beginners—teaches from scratch R, statistics, and the fundamentals of quantitative social scienceData Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific stu...
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Data science for neuroimaging
Ariel Rokem, Tal Yarkoni,Data science methods and tools—including programming, data management, visualization, and machine learning—and their application to neuroimaging researchAs neuroimaging turns toward data-intensive discovery, researchers in the field must learn to access, manage, and analyze datasets at unpreceden...
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Discrete and computational geometry, 2nd edition
Satyan L. Devadoss, Joseph O'Rourke,The essential introduction to discrete and computational geometry—now fully updated and expandedDiscrete and Computational Geometry bridges the theoretical world of discrete geometry with the applications-driven realm of computational geometry, offering a comprehensive yet accessible introduction...
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Esri advanced guide to python in arcgis
Dave Crawford, Daniel Yaw,Esri Advanced Guide to Python in ArcGIS uses concise chapters and straightforward tutorials so experienced GIS professionals can learn and immediately apply complex Python skills and techniques.
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Focus on geodatabases in arcgis pro
David W. Allen,Focus on Geodatabases in ArcGIS Pro introduces readers to the geodatabase, the comprehensive information model for representing and managing geographic information across the ArcGIS platform.
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Mindmasters
Sandra Matz,A fascinating exploration of how algorithms penetrate the most intimate aspects of our psychology—from the pioneering expert on psychological targeting.There are more pieces of digital data than there are stars in the universe. This data helps us monitor our planet, decipher our genetic code, and...
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Modeling social behavior
Paul E. Smaldino,A comprehensive introduction to mathematical and agent-based modeling of social behaviorThis book provides a unified, theory-driven introduction to key mathematical and agent-based models of social dynamics and cultural evolution, teaching readers how to build their own models, analyze them, and ...
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Quantitative biosciences
Joshua S. Weitz,A hands-on approach to quantitative reasoning in the life sciencesQuantitative Biosciences establishes the quantitative principles of how living systems work across scales, drawing on classic and modern discoveries to present a case study approach that links mechanisms, models, and measurements. ...
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Quantitative biosciences companion in matlab
Joshua S. Weitz, Bradford P. Taylor,A hands-on lab guide in the MATLAB programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological prin...
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Quantitative biosciences companion in python
Joshua S. Weitz, Nolan English, Alexander B. Lee, Ali Zamani,A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological prin...
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Quantitative biosciences companion in r
Joshua S. Weitz, Marian Domínguez-Mirazo,A hands-on lab guide in the R programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principle...
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Quantitative social science
Kosuke Imai, Nora Webb Williams,A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitati...
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Questioning technology
Bex O’Higgins, Sallyann Halliday,Written from an equitable data perspective, Questioning Technology translates the pressing challenges within data collection, data categorization and data commercialisation to enable researchers, SMEs, and practitioners to better question why and how they use data.
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Social influence and the logic of collective action
Sergey Gavrilets,An integrated quantitative framework for understanding the dynamics of collective action Collective action has been a fundamental aspect of human societies throughout history, from building irrigation systems and defenses in Neolithic times to coordinated disaster relief and scientific collaborat...
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Spatial data science
Dr. John P. Wilson,Spatial Data Science will show GIS scientists and practitioners how to add and use new analytical methods from data science in their existing GIS platforms. By explaining how the spatial domain can provide many of the building blocks, it's critical for transforming data into information, knowledg...
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The data economy
Isaac Baley, Laura L. Veldkamp,Tools from macroeconomics and finance to incorporate the central role that data plays in the economyThe most valuable firms in the global economy are valued largely for their data. Amazon, Apple, Google, and others have proven the competitive advantage of a good data set. And yet despite the grow...
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The development of open government data
Di Wang, Deborah Richards, Ayse Aysin Bilgin, Chuanfu Chen,Providing a unique and enhanced theoretical and practical understanding of OGD and its usage, as well as proposing directions for OGD portals’ future development in order to encourage citizens’ OGD utilization, this is a must-read for researchers and policymakers examining the impact and possibil...
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Thinking clearly with data
Ethan Bueno de Mesquita, Anthony Fowler,An engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbook...
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To think like a statistician
Bradley Efron,Why you don’t need to be a statistician to think like oneA fire hose of information bombards us every day, and some of it is even true. Is Bitcoin a good investment? Are hurricanes getting worse? Is the measles vaccine dangerous? Separating the wheat from the chaff is what statisticians do—and th...
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