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A primer on business analytics
Yudhvir Seetharam,This book offers a comprehensive overview of business analytics for both technical and business backgrounds. It covers the field in the context of the 4th Industrial Revolution, focusing on financial institutions and data science techniques. It also discusses building data-driven teams, executive...
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All the news that’s fit to click
Caitlin Petre,From the New York Times to Gawker, a behind-the-scenes look at how performance analytics are transforming journalism today—and how they might remake other professions tomorrowJournalists today are inundated with data about which stories attract the most clicks, likes, comments, and shares. These ...
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Application of big data and business analytics
Sneha Kumari, K.K. Tripathy, Vidya Kumbhar,Application of Big Data and Business Analytics uses advanced analytic tools to explore the solutions to problems in society, environment and industry. The chapters within bring together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.
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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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Computing the news
Sylvain Parasie,Sylvain Parasie examines how data journalists and news organizations have navigated the tensions between traditional journalistic values and new technologies. Offering an in-depth analysis of how computing has become part of the daily practices of journalists, this book proposes ways for journali...
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Dark data
David J. Hand,A practical guide to making good decisions in a world of missing dataIn the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. Just as much of the universe...
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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 engineering for data-driven marketing
Balamurugan Baluswamy, Veena Grover, M. K. Nallakaruppan, Vijay Anand Rajasekaran, Mariofanna Milanova and moreOffering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources.
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Data science and analytics
Sneha Kumari, K.K. Tripathy, Vidya Kumbhar,Data Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications.
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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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Introduction to topology and geometry
Ciprian Manolescu,A concise and unified introduction to the foundational concepts of modern topology and geometryTopology and geometry are branches of mathematics with applications in fields ranging from physics and chemistry to computer science and economics. This textbook offers a rigorous yet accessible approac...
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Mathletics
Wayne L. Winston, Scott Nestler, Konstantinos Pelechrinis,How to use math to improve performance and predict outcomes in professional sportsMathletics reveals the mathematical methods top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical skills they need to enhance their understanding and...
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Technology in healthcare
The ebook edition of this title is Open Access and freely available to read online. This book captures the learnings from the BigMedilytics project. The project aimed to transform Europe’s healthcare sector by using state-of-the-art Big Data technologies delivering better access to healthcare fac...
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Text as data
Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart,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 fu...
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The chatgpt revolution
Abhishek Behl, Chitra Krishnan, Priyanka Malik, Shalini Gautam,The ChatGPT Revolution provides readers with an immersive journey into conversational AI powered by the ChatGPT framework. With real world examples and analysis, this work explores the potential of ChatGPT in scientific research, customer service, and business operations.
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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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Thoughtful data
Jonathan Schwabish, Alice Feng,Thoughtful Data is a guide to practicing data work ethically, empathetically, and inclusively.
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Winning with data science
Howard Steven Friedman, Akshay Swaminathan,This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams.
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