Beschreibung We Are Data: Algorithms and the Making of Our Digital Selves. What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist itAlgorithms 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 usÂbut 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.
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 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 .
We Are Data: Algorithms and the Making of Our Digital ~ 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.
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We Are Data: Algorithms And The Making Of Our Digital Selves ~ We Are Data: Algorithms And The Making Of Our Digital Selves by John Cheney-Lippold / 2017 / English / EPUB. Read Online 1.3 MB Download. 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 .
We Are Data: Algorithms and the Making of Our Digital ~ We Are Data: Algorithms and the Making of Our Digital Selves - Kindle edition by Cheney-Lippold, John. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading We Are Data: Algorithms and the Making of Our Digital Selves.
(PDF) Towards algorithmic cultures, Algorithmic identities ~ We Are Data: Algorithms and the Making of Our Digital Selves by John Cheney-Lippold . The black box society: The secret algorithms that control money and information by Pasquale, Frank. By. Mercy .
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a zine-making workshop - LIVING WITH PERSONAL DATA ~ Bringing together zine-making and digital data, we collaboratively made a zine to critically consider how we experience algorithms in everyday life. This workshop drew on and was a primer for some of the arts-based and co-design work we are doing in the ARC-funded project âLiving with personal Data: Australiansâ Understandings and Practicesâ. To guide us in thinking about algorithmic .
Decoding algorithms - Stine Lomborg, Patrick Heiberg ~ If we cannot open the black box itself, we can study the relationships that people experience with algorithms, and by extension how and to what extent these experienced relationships become meaningful and are interwoven with usersâ reflections of power, transparency, and justice in digital media. We demonstrate the potential of approaching algorithmic experience as communicative practices of .
Data Structure and Algorithms Tutorial - Tutorialspoint ~ Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This tutorial will give you a great understanding on Data Structures needed to understand the complexity of enterprise level applications and need of algorithms, and data structures.
The Digital Self - OpenText Blogs ~ Just as our analog notion of self (flesh and blood) consists of RNA and DNA, our digital sequenceâlet us call it the âDigital Selfââconsists of code. Each day, we are creating massive and permanent data trails that contain essential attributes of encoding, decoding, and expressions of our genes (or self). We do this both consciously and explicitly, and subconsciously and indirectly.
Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne ~ We motivate each algorithm that we address by examining its impact on applications to science, engineering, and industry. The textbook is organized into six chapters: Chapter 1: Fundamentals introduces a scientific and engineering basis for comparing algorithms and making predictions. It also includes our programming model. Chapter 2: Sorting .
What is data mining? / SAS ~ Unstructured data alone makes up 90 percent of the digital universe. But more information does not necessarily mean more knowledge. Data mining allows you to: Sift through all the chaotic and repetitive noise in your data. Understand what is relevant and then make good use of that information to assess likely outcomes.
Everybody Lies: Big Data, New Data, and What the Internet ~ âEverybody Lies relies on big data to rip the veneer of what we like to think of as our civilized selves. A book that is fascinating . By analyzing this digital goldmine, we can now learn what people really think, what they really want, and what they really do. Sometimes the new data will make you laugh out loud. Sometimes the new data will shock you. Sometimes the new data will deeply .
Your First Machine Learning Project in Python Step-By-Step ~ That is, we are going to hold back some data that the algorithms will not get to see and we will use this data to get a second and independent idea of how accurate the best model might actually be. We will split the loaded dataset into two, 80% of which we will use to train, evaluate and select among our models, and 20% that we will hold back as a validation dataset.
Data Mining: How Companies Use Data to Find Useful ~ Data mining is a process used by companies to turn raw data into useful information by using software to look for patterns in large batches of data.
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