Good Data

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Good Data

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Author : Sam Gilbert
language : en
Publisher:
Release Date : 2022-02-17

Good Data written by Sam Gilbert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-17 with Computers categories.

A rethink of everything you thought you knew about data, privacy and the future of Big Tech. Good Data examines the incredible new ways this information explosion is already helping us, and explains why the best is yet to come.

Good Data

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Author : Angela Daly
language : en
Publisher: Lulu.com
Release Date : 2019-01-23

Good Data written by Angela Daly and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-23 with Computers categories.

Moving away from the strong body of critique of pervasive ?bad data? practices by both governments and private actors in the globalized digital economy, this book aims to paint an alternative, more optimistic but still pragmatic picture of the datafied future. The authors examine and propose ?good data? practices, values and principles from an interdisciplinary, international perspective. From ideas of data sovereignty and justice, to manifestos for change and calls for activism, this collection opens a multifaceted conversation on the kinds of futures we want to see, and presents concrete steps on how we can start realizing good data in practice.

Big Data For The Greater Good

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Author : Ali Emrouznejad
language : en
Publisher: Springer
Release Date : 2018-07-13

Big Data For The Greater Good written by Ali Emrouznejad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-13 with Technology & Engineering categories.

This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.

Infoworld

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Author :
language : en
Publisher:
Release Date : 1992-05-11

Infoworld written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-05-11 with categories.

InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.

Privacy Big Data And The Public Good

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Author : Julia Lane
language : en
Publisher: Cambridge University Press
Release Date : 2014-06-09

Privacy Big Data And The Public Good written by Julia Lane and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-09 with Computers categories.

Data access is essential for serving the public good. This book provides new frameworks to address the resultant privacy issues.

R For Data Science

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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12

R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Computerworld

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Author :
language : en
Publisher:
Release Date : 1995-09-04

Computerworld written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-09-04 with categories.

For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.

Fintech

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Author : Zhong Xu
language : en
Publisher: Routledge
Release Date : 2022-03-10

Fintech written by Zhong Xu and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-10 with Business & Economics categories.

Fintech, the integration of technology into the delivery of financial services, has revolutionized the world of Finance. This book introduces a new framework to study the concepts that underly Fintech while examining the driving forces and underlying logic behind Fintech-based innovation and predicting the future development of Fintech. The first three parts of the book cover the development and basics of Fintech and its relationship with inclusive finance, while later parts constitute a deep dive into several core issues surrounding Fintech. First, the book introduces an economic explanation of blockchain and its application in various scenarios based on the token paradigm. Second, it studies digital currency and discusses its impacts on payment systems, financial inclusion, monetary policy, and financial stability. Third, the authors explore how to build a compliant and effective market for data while protecting data privacy, impinging on the future development of AI application, the digital economy, and Fintech. Fourth, the book examines public policies related to Fintech, including regulatory technology, the regulation of financial activities of Big Tech companies, and how to promote financial inclusion. The title will appeal to scholars, students, and financial practitioners and regulators in a broad range of areas including economics, finance, technology, and public policy, especially Fintech, blockchain, and digital currency.

Storytelling With Data

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Author : Cole Nussbaumer Knaflic
language : en
Publisher: John Wiley & Sons
Release Date : 2015-10-09

Storytelling With Data written by Cole Nussbaumer Knaflic 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 2015-10-09 with Mathematics categories.

Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!