Beautiful Data

The Stories Behind Elegant Data Solutions

Author: Toby Segaran,Jeff Hammerbacher

Publisher: "O'Reilly Media, Inc."

ISBN: 144937929X

Category: Computers

Page: 386

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In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran
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The Data Bonanza

Improving Knowledge Discovery in Science, Engineering, and Business

Author: Malcolm Atkinson,Rob Baxter,Peter Brezany,Oscar Corcho,Michelle Galea,Mark Parsons,David Snelling,Jano van Hemert

Publisher: John Wiley & Sons

ISBN: 1118540301

Category: Computers

Page: 576

View: 4506

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Complete guidance for mastering the tools and techniques ofthe digital revolution With the digital revolution opening up tremendous opportunitiesin many fields, there is a growing need for skilled professionalswho can develop data-intensive systems and extract information andknowledge from them. This book frames for the first time a newsystematic approach for tackling the challenges of data-intensivecomputing, providing decision makers and technical experts alikewith practical tools for dealing with our exploding datacollections. Emphasizing data-intensive thinking and interdisciplinarycollaboration, The Data Bonanza: Improving Knowledge Discoveryin Science, Engineering, and Business examines the essentialcomponents of knowledge discovery, surveys many of the currentresearch efforts worldwide, and points to new areas for innovation.Complete with a wealth of examples and DISPEL-based methodsdemonstrating how to gain more from data in real-world systems, thebook: Outlines the concepts and rationale for implementingdata-intensive computing in organizations Covers from the ground up problem-solving strategies for dataanalysis in a data-rich world Introduces techniques for data-intensive engineering using theData-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations,environmental hazards, seismology, and more Showcases successful applications in areas ranging fromastronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well asadditional materials on a companion website The Data Bonanza is a must-have guide for informationstrategists, data analysts, and engineers in business, research,and government, and for anyone wishing to be on the cutting edge ofdata mining, machine learning, databases, distributed systems, orlarge-scale computing.
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The Data Industry

The Business and Economics of Information and Big Data

Author: Chunlei Tang

Publisher: John Wiley & Sons

ISBN: 1119138418

Category: Mathematics

Page: 216

View: 5385

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Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.
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Enterprise Games

Using Game Mechanics to Build a Better Business

Author: Michael Hugos

Publisher: "O'Reilly Media, Inc."

ISBN: 1449319564

Category: Business & Economics

Page: 199

View: 6591

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Games are playing a crucial role in many successful businesses—not just in PR and marketing, but as a model for designing business systems and workflows. In this book, Michael Hugos provides compelling case studies that demonstrate how game mechanics enable companies to respond quickly to challenges in today’s real-time economy. It’s not about giving workers a smiley face for producing more widgets. You’ll discover how game mechanics—particularly popular multiplayer video games—provide field-tested best practices for engaging workers in creative and complex activities. With games, your company can shift from an outmoded top-down hierarchy to an agile network structure that promotes coordination over control. Discover why industrial age business structures from the 20th century no longer work Design real-time business collaboration systems, using massively multiplayer online game concepts Make your in-house systems more agile with technologies such as social media, mobile devices, and cloud computing Understand game dynamics: goals, rules, real-time feedback, and voluntary participation Apply virtual worlds and 3-D animation to business intelligence and data analytics applications
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Image Studies

Theory and Practice

Author: Sunil Manghani

Publisher: Routledge

ISBN: 1136483195

Category: Performing Arts

Page: 274

View: 3325

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Image Studies offers an engaging introduction to visual and image studies. In order to better understand images and visual culture the book seeks to bridge between theory and practice; asking the reader to think critically about images and image practices, but also simultaneously to make images and engage with image-makers and image-making processes. Looking across a range of domains and disciplines, we find the image is never a single, static thing. Rather, the image can be a concept, an object, a picture, or medium – and all these things combined. At the heart of this book is the idea of an ‘ecology of images’, through which we can examine the full ‘life’ of an image – to understand how an image resonates within a complex set of contexts, processes and uses. Part 1 covers theoretical perspectives on the image, supplemented with practical entries on making, researching and writing with images. Part 2 explores specific image practices and cultures, with chapters on drawing and painting; photography; visual culture; scientific imaging; and informational images. A wide range of illustrations complement the text throughout and each chapter includes creative tasks, keywords (linked to an online resource), summaries and suggested further reading. In addition, each of the main chapters include selected readings by notable authors across a range of subject areas, including: Art History, Business, Cognitive Science, Communication Studies, Infographics, Neuroscience, Photography, Physics, Science Studies, Social Semiotics, Statistics, and Visual Culture.
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PC AI.

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Artificial intelligence

Page: N.A

View: 7178

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