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John Cheney-Lippold We Are Data


What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world, but also determine who we are and who we can be, both on and offline. Algorithms create and recreate us, using our data to assign and reassign our gender, race, sexuality, and citizenship status. They can recognize us as celebrities or mark us as terrorists. In this era of ubiquitous surveillance, contemporary data collection entails more than gathering information about us. Entities like Google, Facebook, and the NSA also decide what that information means, constructing our worlds and the identities we inhabit in the process. We have little control over who we algorithmically are. Our identities are made useful not for us—but for someone else. Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities. We Are Data will educate and inspire readers who want to wrest back some freedom in our increasingly surveilled and algorithmically-constructed world.

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Ihab F. Ilyas Data Cleaning


Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multiple surveys show that dirty data is the most common barrier faced by data scientists. Not surprisingly, developing effective and efficient data cleaning solutions is challenging and is rife with deep theoretical and engineering problems. This book is about data cleaning, which is used to refer to all kinds of tasks and activities to detect and repair errors in the data. Rather than focus on a particular data cleaning task, we give an overview of the end-to-end data cleaning process, describing various error detection and repair methods, and attempt to anchor these proposals with multiple taxonomies and views. Specifically, we cover four of the most common and important data cleaning tasks, namely, outlier detection, data transformation, error repair (including imputing missing values), and data deduplication. Furthermore, due to the increasing popularity and applicability of machine learning techniques, we include a chapter that specifically explores how machine learning techniques are used for data cleaning, and how data cleaning is used to improve machine learning models. This book is intended to serve as a useful reference for researchers and practitioners who are interested in the area of data quality and data cleaning. It can also be used as a textbook for a graduate course. Although we aim at covering state-of-the-art algorithms and techniques, we recognize that data cleaning is still an active field of research and therefore provide future directions of research whenever appropriate.

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Goodell Abner Cheney The Trial and Execution, for Petit Treason, of Mark and Phillis, Slaves of Capt. John Codman

Noreena Hertz Eyes Wide Open: How to Make Smart Decisions in a Confusing World


In a fast-moving world we’re often overloaded with differing opinions, conflicting data and changing advice. In this essential guide, Noreena Hertz offers practical steps to how to make better, smarter decisions.Most of us think we make decisions for the right reasons: we scour books, we talk over options with our friends, we search the internet, we ask experts, we look at data or we trust our guts. But how hard do we scrutinise those we listen to? How much do we interrogate the information they provide? Are we open to new ways of tackling problems? Or are we swayed by how we’ve made decisions in the past?Noreena Hertz reveals the extent to which life-altering, business-affecting, policy-determining, and also health-defining decisions are being made based on partial information, assumed wisdoms, corrupted data and insufficient scrutiny. She provides a clear, practical toolkit for how you can be a smarter decision-maker and better problem-solver. Whether knowing when to trust experts and when to trust the internet or how you can be unconsciously swayed by certain behaviours or phoney stats, this books instructs you how to make better choices and more accurate predictions – through your personal life, your work and all your decisions.

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RJ Andrews Info We Trust. How to Inspire the World with Data


How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing. Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts – but must push further than dry defaults to be truly effective. How do we attract attention? How can we offer audiences valuable experiences worth their time? How can we help people access complexity? Dark and mysterious, but full of potential, data is the raw material from which new understanding can emerge. Become a hero of the information age as you learn how to dip into the chaos of data and emerge with new understanding that can entertain, improve, and inspire. Whether you call the craft data storytelling, data visualization, data journalism, dashboard design, or infographic creation – what matters is that you are courageously confronting the chaos of it all in order to improve how people see the world. Info We Trust is written for everyone who straddles the domains of data and people: data visualization professionals, analysts, and all who are enthusiastic for seeing the world in new ways. This book draws from the entirety of human experience, quantitative and poetic. It teaches advanced techniques, such as visual metaphor and data transformations, in order to create more human presentations of data. It also shows how we can learn from print advertising, engineering, museum curation, and mythology archetypes. This human-centered approach works with machines to design information for people. Advance your understanding beyond by learning from a broad tradition of putting things “in formation” to create new and wonderful ways of opening our eyes to the world. Info We Trust takes a thoroughly original point of attack on the art of informing. It builds on decades of best practices and adds the creative enthusiasm of a world-class data storyteller. Info We Trust is lavishly illustrated with hundreds of original compositions designed to illuminate the craft, delight the reader, and inspire a generation of data storytellers.

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Arthur Cheney Train The Greatest Works of Arthur Cheney Train (Illustrated Edition)

Tom Heath Linked Data


The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards – the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data. We begin by outlining the basic principles of Linked Data, including coverage of relevant aspects of Web architecture. The remainder of the text is based around two main themes – the publication and consumption of Linked Data. Drawing on a practical Linked Data scenario, we provide guidance and best practices on: architectural approaches to publishing Linked Data; choosing URIs and vocabularies to identify and describe resources; deciding what data to return in a description of a resource on the Web; methods and frameworks for automated linking of data sets; and testing and debugging approaches for Linked Data deployments. We give an overview of existing Linked Data applications and then examine the architectures that are used to consume Linked Data from the Web, alongside existing tools and frameworks that enable these. Readers can expect to gain a rich technical understanding of Linked Data fundamentals, as the basis for application development, research or further study.


Table of Contents: List of Figures / Introduction / Principles of Linked Data / The Web of Data / Linked Data Design Considerations / Recipes for Publishing Linked Data / Consuming Linked Data / Summary and Outlook

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Kevin MD Hough C# 2010 Coding Briefs Data Access


In today&#39;s high-tech, information driven world, the security of personal data is vital. We have all heard the horror stories of personal data being compromised from companies, both large and small. <br><br>The data access framework that we will develop in Coding Briefs will allow us to create datasets, execute queries, and select data in a secure, managed process. <br><br>This framework will provide a solid foundation for managing secure data access through stored procedures, allowing us to select, insert, update, and delete records from a SQL Server database. We will have access to parameterized queries and will develop an automated process for discovering stored procedure parameters. <br><br>The major areas that we will address in this brief are as follows: <br>-Discussing the Data Access Framework (DAL) <br>-Importing Libraries and Declaring Values <br>-Managing the Database Connections <br>-Selecting Records <br>-Manipulating Data <br>-Preparing the Select and Execute Methods <br>-Working with Parameters <br>-Testing the Data Access Framework <br><br>And, as a bonus, two complete sample applications have been added; one for Windows, and one in ASP .Net, that will test all of the features on the data access framework.

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Brockman J. This Explains Everything


John Brockman, founder and publisher of Edge.org, asked experts in numerous fields and disciplines to come up with their favorite explanations for everyday occurrences. Why do we recognize patterns? Is there such a thing as positive stress? Are we genetically programmed to be in conflict with each other? Those are just some of the 150 questions that the world's best scientific minds answer with elegant simplicity.

548 RUR

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Kevin Ph.D. Hough Visual Basic 2010 Coding Briefs Data Access


In today&#39;s high-tech, information driven world, the security of personal data is vital. We have all heard the horror stories of personal data being compromised from companies, both large and small.<br><br>The data access framework that we will develop in Coding Briefs will allow us to create datasets, execute queries, and select data in a secure, managed process. <br><br>This framework will provide a solid foundation for managing secure data access through stored procedures, allowing us to select, insert, update, and delete records from a SQL Server database. We will have access to parameterized queries and will develop an automated process for discovering stored procedure parameters.<br><br>The major areas that we will address in this brief are as follows:<br>– Discussing the Data Access Framework (DAL)<br>– Importing Libraries and Declaring Values<br>– Managing the Database Connections<br>– Selecting Records<br>– Manipulating Data<br>– Preparing the Select and Execute Methods<br>– Working with Parameters<br>– Testing the Data Access Framework<br><br>And, as a bonus, two complete sample applications have been added; one for Windows, and one in ASP .Net, that will test all of the features on the data access framework.

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We Are Data - NYU Press

We have little control over who we algorithmically are. Our identities are made useful not for us—but for someone else. Our identities are made useful not for us—but for someone else. Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities.

Cheney-Lippold, J: We Are Data: Amazon.de: Cheney-Lippold ...

We have little control over who we algorithmically are. Our identities are made useful not for us but for someone else. Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities.

John Cheney-Lippold | U-M LSA American Culture

Professor Cheney-Lippold teaches and writes on the relationship between digital media, identity, and the concept of privacy. He is the author of We Are Data: Algorithms and the Making of our Digital Selves (NYU Press, 2017).

JOHN CHENEY-LIPPOLD: WE ARE DATA

Published on Feb 14, 2019 John Cheney-Lippold discusses his book We Are Data: Algorithms and the Making of our Digital Selves with Chris Richardson. Cheney-Lippold is associate professor of...

John Cheney-Lippold | U-M LSA Digital Studies Institute

Professor Cheney-Lippold teaches and writes on the relationship between digital media, identity, and the concept of privacy. He is the author of We Are Data: Algorithms and the Making of our Digital Selves (NYU Press, 2017).

[We Are Data] | C-SPAN.org

John Cheney-Lippold talked about his book We Are Data: Algorithms and The Making of Our Digital Selves, in which he looks into how digital data defines who we are, the differences we see between ...

John Cheney-Lippold, We Are Data: Algorithms and the ...

John Cheney-Lippold, We Are Data: Algorithms and the Making of Our Digital Selves, New York University Press: New York, 2017; 315 pp.: £22.99. Whenever we do something online or enter into one or other digital network, we leave data in our wake. From these data, whether we like it or not, whether we are aware of it or not, a sense of who we are can be interpreted by whoever holds it or has ...

John Cheney-Lippold Interview - We Are Data

John Cheney-Lippold Interview - We Are Data - Captured Live on Ustream at http://www.ustream.tv/channel/american-radio

Amazon.com: We Are Data: Algorithms and the Making of Our ...

John Cheney-Lippold is Assistant Professor of American Culture and Digital Studies at the University of Michigan.

Citing BDS, US prof. refuses to write reference for ...

John Cheney-Lippold, an associate professor in the university’s Department of American Culture, had previously offered to write an undergraduate’s reference letter for a semester abroad program in...

Petition · Stand With John Cheney-Lippold · Change.org

Professor Cheney-Lippold has explained that his decision was a matter of conscience, in line with his support for the Boycott, Divestment, Sanctions Movement against Israel. He has explained that he is an advocate for Palestinian human rights, and believes that supporting a student's desire to study in Israel can conflict with his advocacy.

Israel Book Review : We Are Data: Algorithms and the ...

This episode serves as the affective fulcrum of We Are Data: Algorithms and the Making of Our Digital Selves, John Cheney-Lippold’s inquiry into the manner in which algorithms interpret and influence our behaviour. It represents the moment at which the gravity of algorithmic regulation is brought home to the reader.

An Interview with John Cheney-Lippold, Author of We Are ...

A Q&A with John Cheney-Lippold, author of We Are Data: Algorithms and The Making of Our Digital Selves. What is posthumanism and how does it shift emphasis from the contained material body to information? Cheney-Lippold: Posthumanism is a theory that what makes us up extends beyond our human bodies to include information about us. This is seen ...

We Are Data: Algorithms and The Making of Our Digital ...

Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities. We Are Data will educate and inspire readers who want to wrest back some freedom in our increasingly surveilled and algorithmically-constructed world.

University of Michigan disciplines prof over Israel letter ...

John Cheney-Lippold, a tenured American and digital studies associate professor, will not get a merit raise during the 2018-19 academic year and can't go on his upcoming sabbatical in January or...

We Are Data: Algorithms and the Making of Our Digital ...

John Cheney-Lippold uses examples to show the reader how our advancement in technology, the masses of our personal data (perhaps collected through surveilla Wow.. how does one describe this book. The book synopsis definitely interested me but at the same time I wondered if it would be dry and bore me to death.

Professor draws ire after declining to help student study ...

John Cheney-Lippold told student Abigail Ingber he couldn’t write her a letter of recommendation to study in Israel, citing an academic boycott on the country.

Book Review: We Are Data: Algorithms and the Making of Our ...

This episode serves as the affective fulcrum of We Are Data: Algorithms and the Making of Our Digital Selves, John Cheney-Lippold’s inquiry into the manner in which algorithms interpret and influence our behaviour. It represents the moment at which the gravity of algorithmic regulation is brought home to the reader.

Book Review: We Are Data: Algorithms and the Making of Our ...

This episode serves as the affective fulcrum of We Are Data: Algorithms and the Making of Our Digital Selves, John Cheney-Lippold’s inquiry into the manner in which algorithms interpret and influence our behaviour. It represents the moment at which the gravity of algorithmic regulation is brought home to the reader.

We Are Data eBook by John Cheney-Lippold - 9781479802449 ...

We have little control over who we algorithmically are. Our identities are made useful not for us—but for someone else. Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities.

We Are Data: Algorithms and the Making of Our Digital ...

John Cheney-Lippold is Assistant Professor of American Culture and Digital Studies at the University of Michigan. Page 1 of 1 Start over Page 1 of 1 This shopping feature will continue to load items when the Enter key is pressed.

John Cheney-Lippold: We Are Data — this is not a pipe podcast

John Cheney-Lippold discusses his book We Are Data: Algorithms and the Making of our Digital Selves with Chris Richardson. Cheney-Lippold is associate professor of American Culture and Digital Studies at the University of Michigan. He researches and writes on the intersection of power and technology, focusing on surveillance, identity, algorithms, and privacy. RECOMMENDED READINGS. Network ...

AAUP Sides With Pro-BDS Professor in Recommendation Letter ...

Earlier this summer, John Cheney-Lippold, an ... We don’t have ads, so we depend on our members — 35,000 and counting — to help us hold the powerful to account. Joining is simple and doesn ...

John Cheney-Lippold – Useful Stooges

John Cheney-Lippold. First of all, let’s make it clear that when we say “recommendation-letter Nazi,” we’re using “Nazi” in pretty much the same sense that it was used in the “Soup Nazi” episode of Seinfeld. In this case, the individual in question is a University of Michigan professor named John Cheney-Lippold. A few weeks ago, when one of his students, a young woman named ...

John Cheney-Lippold (Author of We Are Data)

John Cheney-Lippold is Assistant Professor of American Culture and Digital Studies at the University of Michigan.. John Cheney-Lippold is the author of W...

We Are Data : John Cheney-Lippold : 9781479857593

We Are Data by John Cheney-Lippold, 9781479857593, available at Book Depository with free delivery worldwide.

We Are Data Algorithms And The Making Of Our Digital ...

MAY 22ND, 2020 - JOHN CHENEY LIPPOLD WE ARE DATA ALGORITHMS AND THE MAKING OF OUR DIGITAL SELVES NEW YORK NY NEW YORK UNIVERSITY PRESS 2017 317 PP 27 95 HARDCOVER REVIEWED BY OSCAR GANDY ANNENBERG SCHOOL FOR MUNICATION UNIVERSITY OF PENNSYLVANIA USA MY COPY OF JOHN CHENEY LIPPOLD S NEW BOOK WE ARE DATA ' 'how algorithms rule the world science the guardian may 31st, 2020 - the questions being ...

We Are Data (eBook, ePUB) von John Cheney-Lippold ...

What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it Algorithms are everywhere, organizing the near limitless data that exists in our world.

Social Reproduction and Social Credit Apparatuses ...

John Cheney-Lippold is associate professor of American Culture and Digital Studies. He is the author of We Are Data: Algorithms and the Making of our Digital Selves (NYU Press, 2017). SHOW ALL ARTICLES OF John Cheney-Lippold . Related Posts. The European Parliament and the Fiscal Compact. On the Right to be Forgotten and the Right to be for myself. Race, Caste and Law: Dalit and African ...

Palestinians Thank Prof. Cheney-Lippold for Refusing to Be ...

Palestinians welcome Prof. Cheney-Lippold's stand for Palestinian rights and urge academics to end all collaboration with complicit Israeli institutions, including through study abroad programs in Israel.

We Are Data: Algorithms and the Making of Our Digital ...

We Are Data: Algorithms and the Making of Our Digital Selves: Cheney-Lippold, John: Amazon.nl Selecteer uw cookievoorkeuren We gebruiken cookies en vergelijkbare tools om uw winkelervaring te verbeteren, onze services aan te bieden, te begrijpen hoe klanten onze services gebruiken zodat we verbeteringen kunnen aanbrengen, en om advertenties weer te geven.

John Cheney-Lippold at University of Michigan ...

Prof Cheney-Lippold is very knowledgeable about his subject and a really great person. The material in his class is very difficult, and the readings are very long and dense, more like a grad course. Very few clear definitions which are req for tests. GSI refused to clarify as we should be able to figure it out ourselves from the text.

John Cheyne, Baron Cheyne - Wikipedia

John Cheyne (or Cheney), Baron Cheyne KG KB (ca. 1442 – 1499) was Master of the Horse to King Edward IV and personal bodyguard to King Henry VII of England.. Biography. John was the third but second surviving son of John Cheyne (or Cheney) of Shurland Hall in Kent, by his wife, Eleanor, daughter and sole heiress of Sir Robert Shottesbrooke of Faringdon in Berkshire (now Oxfordshire).

We Are Data: Algorithms and the Making of Our Digital ...

We Are Data: Algorithms and the Making of Our Digital Selves: Cheney-Lippold, John: Amazon.nl

Standing with John Cheney-Lippold | ACADEME BLOG

John Cheney-Lippold, an associate professor of American Culture at the University of Michigan—Ann Arbor, has been criticized by some supporters of the State of Israel for declining to write a letter of recommendation for a student seeking to study for a semester in that country. Following his conscience, and the principles of the Boycott, Divestment, and Sanctions movement, Cheney-Lippold ...

John Cheney-Lippold: We Are Data | Literati Bookstore

John Cheney-Lippold: We Are Data . Literati is pleased to welcome John Cheney-Lippold in support of his book We Are Data: Algorithms and the Making of Our Digital Selves. Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information ...

John Cheney-Lippold | Verfassungsblog

John Cheney-Lippold is associate professor of American Culture and Digital Studies. He is the author of We Are Data: Algorithms and the Making of our Digital Selves (NYU Press, 2017). POSTS BY John Cheney-Lippold. DEBATE «China‘s Social Credit System» Social Reproduction and Social Credit Apparatuses. John Cheney-Lippold Di 18 Jun 2019. John Cheney-Lippold removes China from the analysis ...

'U' comments on professor refusal to recommend study in ...

University of Michigan professor John Cheney-Lippold is facing claims of anti-Semitism after rescinding his offer to write a recommendation letter for LSA junior Abigail Ingber, who requested the letter for an application for a study abroad program in Israel.Cheney-Lippold, who works in the American Culture Department, expressed his apologies in the email but claimed that as part of an ...

Popular We Are Data: Algorithms and the Making of Our ...

Want to have a good book? By : John Cheney-Lippold Please visit our website at : https://cbookdownload7.blogspot.co.uk/?book=1479857599 Happy reading and good luck ...

We Are Data - John Cheney-Lippold | paperback - abe.pl

We Are Data - John Cheney-Lippold - Media studies - 9781479808700. Contact; Newsletter . Newsletter Sign in for news and special offers information. Data Administrator: ABE-IPS Sp. z o.o. ...

We Are Data Buch von John Cheney-Lippold versandkostenfrei ...

We Are Data von John Cheney-Lippold im Weltbild.at Bücher Shop versandkostenfrei bestellen. Reinklicken und zudem tolle Bücher-Highlights entdecken!

University of Michigan promises to discipline faculty in ...

But an Oct. 3 letter obtained by the Michigan Daily spells out punitive measures directed against the professor, John Cheney-Lippold, who last month agreed to support a student’s application for ...

A New Algorithmic Identity: Soft Biopolitics and the ...

John Cheney-Lippold. Abstract Full Text References Abstract. Marketing and web analytic companies have implemented sophisticated algorithms to observe, analyze, and identify users through large surveillance networks online. These computer algorithms have the capacity to infer categories of identity upon users based largely on their web-surfing habits. In this article I will first discuss the ...

"We Are Data" Algorithms and the Making of Our Digital ...

We love the idea that data and the compute model follow our mental models for binary abstraction in defining who we are. The “I am male, female or prefer not to say,” is how we believe the systems see us. John explores why they don’t. In the system we are all part-everything based on the data and how you react to media, because of this the machine see you as your behaviour to what they ...

In solidarity with Professor Cheney-Lippold and ...

One thing we would like to commend is Cheney-Lippold’s willingness to use his identity as a white man, with no formal ties to the Palestine-Israel conflict, to stand in solidarity with the people in Palestine. One of the platforms taken by the student who received the denial of a recommendation letter is the fact that her “work habits, diligence, and aptitude as a student” should have ...

John Cheney-Lippold, We Are Data: Algorithms and the ...

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).. If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.. Alternatively, you can download the PDF file directly to your computer, from where it ...

We Are Data: Algorithms and the Making of Our Digital ...

We Are Data: Algorithms and the Making of Our Digital Selves: Cheney-Lippold, John: Amazon.com.au: Books

WE ARE DATA by John Cheney-Lippold | Kirkus Reviews

“We are thus made subject not to our data but to interpretations of that data.” Drawing on the work of a mind-boggling array of specialists, including philosophers, digital theorists, historians, legal scholars, anthropologists, queer theorists, and political scientists, Cheney-Lippold explores how companies and governments use our datafied identities in marketing, predictive policing, and ...

Review: We Are Data by John Cheney Lippold

Because We Are Data focuses on the information created at an individual level, it suddenly makes it much more relevant to real life. For example, did you know that just by owning a mobile phone (even one that’s turned off), you create data through it’s inbuilt GPS? And that not only will your movements be tracked by your phone company, they will also know who you spend time with in real ...

Bruce McNab Believing is Seeing


"What are you looking for?" These are Jesus's first words in John's Gospel, and he asks us the same question when we decide to follow him. We read John's Gospel because it helps us get closer to Jesus. We're like the first disciples, who answer his question with their own, «Master, where can we find you?» Only near the end of John's story do we learn the answer: Jesus lives in the hearts of all who love him. Believing is Seeing guides readers to believe more deeply in Jesus of Nazareth as the human face of God, seen through the eyes of his beloved disciple. It beckons us to bring to his gospel our soul-searching questions. Do Jesus's words stake a claim on my life? Does John's gospel test me intellectually, spiritually, or morally? Does John's portrait of Jesus make me see him a new way, pray differently, even live differently? Believing in Jesus, the Son of God, shapes how we perceive our own identity, the world around us, the nature of truth, and our relationship with God. To believe is to see with love's eyes.

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Ross Clark The War Against Cash


We are constantly being told that we are on the cusp of a cashless society. The financial services industry would certainly like to see it that way. We are being enticed with contactless cards, mobile phone payment apps, and methods of bank transfer: all, apparently, for our convenience.
But as Ross Clark argues in this compelling new book, it is not in our interests to surrender the right to use cash. Commercial interests want us to pay electronically in order to collect valuable data on our spending habits, while governments would love us to move to cashless payments in order to control the economy in ways which suit them, not us.
If we choose to pay electronically, that is one thing, but we will regret it if we do not defend the right to pay with cash.

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Boi Faltings Game Theory for Data Science


Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards. We cover different settings and the assumptions they admit, including sensing, human computation, peer grading, reviews, and predictions. We survey different incentive mechanisms, including proper scoring rules, prediction markets and peer prediction, Bayesian Truth Serum, Peer Truth Serum, Correlated Agreement, and the settings where each of them would be suitable. As an alternative, we also consider reputation mechanisms. We complement the game-theoretic analysis with practical examples of applications in prediction platforms, community sensing, and peer grading.

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John H. Seger Early Days Among the Cheyenne and Arapahoe Indians


Many of the earliest books, particularly those dating back to the 1900s and before, are now extremely scarce and increasingly expensive. We are republishing these classic works in affordable, high quality, modern editions, using the original text and artwork.

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Arthur Cheney Train The Greatest Mysteries of Arthur Cheney Train – 50+ Titles in One Volume (Illustrated Edition)

Brunt James W. Ecological Data. Design, Management and Processing


Ecologists are increasingly tackling difficult issues like global change, loss of biodiversity and sustainability of ecosystem services. These and related topics are enormously challenging, requiring unprecedented multidisciplinary collaboration and rapid synthesis of large amounts of diverse data into information and ultimately knowledge. New sensors, computers, data collection and storage devices and analytical and statistical methods provide a powerful tool kit to support analyses, graphics and visualizations that were unthinkable even a few years ago. New and increased emphasis on accessibility, management, processing and sharing of high-quality, well-maintained and understandable data represents a significant change in how scientists view and treat data. These issues are complex and despite their importance, are typically not addressed in database, ecological and statistical textbooks. This book addresses these issues, providing a much needed resource for those involved in designing and implementing ecological research, as well as students who are entering the environmental sciences. Chapters focus on the design of ecological studies, data management principles, scientific databases, data quality assurance, data documentation, archiving ecological data and information and processing data into information and knowledge. The book stops short of a detailed treatment of data analysis, but does provide pointers to the relevant literature in graphics, statistics and knowledge discovery. The central thesis of the book is that high quality data management systems are critical for addressing future environmental challenges. This requires a new approach to how we conduct ecological research, that views data as a resource and promotes stewardship, recycling and sharing of data. Ecological Data will be particularly useful to those ecologists and information specialists that actively design, manage and analyze environmental databases. However, it will also benefit a wider audience of scientists and students in the ecological and environmental sciences.

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Herlander Elias Hypertrail


In agreement to author Mark Tovey, «hypertrail» (2008, xxxii) is the moment in which there is too much dialogue between brand and consumer, user and technology, meaning that people leave a historical and digital trail behind when sharing or searching data in the Internet. «Hypertrail» is also the focus of our research. We are facing a new era of networking and smart devices where brands we engage to dialogue with are the ones that connect and keep in touch with us &#8213; they track us and anticipate every move of ours, meaning this we cannot flee from the huge trail we leave behind on the networks, websites and apps. As Tovey speaks about, we rely on the hypertrail, we track the brands and in return, they track us. Besides, brands are aware that we use our smartphones as complete devices for all facts in our lives and that nowadays we are all synchronized. This day and age is what Lipovetsky &amp; Serroy call «hypermodernity» (2013, 13). Furthermore, this is the modernity in which digital media is being used to push us further in technology, science, information and consumerism. Never before has the system known so much about ourselves. In addition, there is more up to it. Without previous instance, have we confessed so much detail about our lives and shopping habits as we do online by giving up our privacy in order to use digital systems. What defines the online media is that is often «hypertextual or hypermediated» (Miller, 2011, 25), meaning that the digital media are context-aware of us and they rely on crossing information about us, thus anticipating every move of ours. Some authors, such as Turkle, prefer to label this media as «narcissistic devices» because we use them as mirrors of our own personality. We shop online, too. Therefore, we are «in» without noticing we do many different things in a «virtual» space without thinking very much as we used to in the past. Events, concepts, facts and actions just happen all the time and we go with the flow. We use special smartphones as extensions of who we are, and of how we think and behave. Whenever we take selfies, we are objectified in representations (Leurs, 2015, 192). This occurs because we do not care about the kind of trail we leave behind &#8213; algorithms digest all our photos and web searches. We came to build a hypertrail online independently we are or not aware of that.

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John Mustol Dusty Earthlings


"The Lord God formed a man from the dust of the ground . . ." (Gen 2:7). Made of dust, we humans are thoroughly physical beings. We are dusty earthlings. As such, we are also ecological beings, or rather eco-physical beings, firmly embedded in and dependent upon God's earthly ecosystems that support and provide for us and constitute our earthly home. Today we are living in ways that are damaging our home. As Christian dusty earthlings, we are called to oversee God's earthly creation and to follow Jesus Christ–God incarnated as a dusty earthling. How do we do this in the face of the array of ecological problems we face today? How can we obey the ecological principles and limits that govern all of life on God's good earth? I suggest that the virtues of humility, voluntary self-limitation, and the principles of kenosis and justice will help as we seek to follow Jesus as dusty earthlings in today's world.

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John Foreman W. Data Smart. Using Data Science to Transform Information into Insight


Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the «data scientist,» to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Each chapter will cover a different technique in a spreadsheet so you can follow along: Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

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Herlander Elias Digital Delta


"On the cover there is a subtle mixture of warm and cold colors. On the face of the humanoid figure there are warm tones and cold tones on one side that spread throughout his body and his aura. The coldness of the machines and the digital mix with the warmth of life and the human. And the simultaneity of these characteristics that belong to us, defines us. We are human in a paradoxical route: we live emotional relationships with immaterial information coming from digital media. This reality permeates our entire material body. Hot and cold. We are also hyperconnected with countless people and information but, at the same time, we are alone. We are individuals with no defined identity in an information network with various social networks whose appearance changes according to the presence we want to mark in these territories. The connections of this digital universe, these nodes that make up the links on the Internet, are like the synapses of our neurons that control our bodies. We are not androids, we are not human-machines, we are not cyborgs, we are only humans. Technology is not yet materialized in us, it is inscribed in our contemporary way of being. This constellation of digital information is tacitly imprinted on our bodies. We are digitally influenced and digital influencers. We have multiple identities. We are physically impermanent, but the information we share online has the possibility of being accessible for centuries or even millennia. Our assets in this digital logic have no mass; we cannot touch the subscriptions and files that we accumulate. Nothing is permanent and changes are inevitable. Even the speed at which transformations take place is not constant. That is why Digital Delta is an urgent and indispensable book to understand the changes that we are going through in this reality that is physically and digitally constructed."

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