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Human Data Banks and Algorithmic Labour. This is the second story in our investigation trilogy titled Facebook Algorithmic Factory, created with the intention to map and visualise a complex and invisible exploitation process hidden behind a black box of the World’s largest social network.

Human Data Banks and Algorithmic Labour

The three stories are exploring four main segments of the process: Data collection – Immaterial Labour and Data harvestingStorage and Algorithmic processing – Human Data Banks and Algorithmic LabourTargeting – Quantified lives on discount The following map is one of the final results of our investigation, but it can also be used as a guide through our stories, and practically help the reader to remain in the right direction and not to get lost in the complex maze of the Facebook Algorithmic Factory. In his famous ”Postscript on the Societies of Control” Deleuze envisions a form of power that is no longer based on the production of individuals but on the modulation of dividuals. 17th century engraving of the pons asinorum in logic.

D3.js - Data-Driven Documents. D3.js - Data-Driven Documents. Gallery · d3/d3 Wiki. Wiki ▸ Gallery Welcome to the D3 gallery!

Gallery · d3/d3 Wiki

More examples are available on bl.ocks.org/mbostock. If you want to share an example and don't have your own hosting, consider using Gist and bl.ocks.org. If you want to share or view live examples try runnable.com or vida.io. 30 Basic Tools For Data Visualization. Posted on FastCodeDesign. iCharts iCharts is a platform that connects the publishers of market research, economic and industry data with professional consumers. iCharts hosts tens of thousands of charts in business, economy, sports, and other categories. iChart makes it simple for people to discover and follow the world’s latest data insights. iCharts provides cloud-based and patented charting tool that enable companies and individuals to brand, market, and share their data as chart content to millions of viewers across the web. icharts provides free accounts to the users which let you create basic interactive charts, while you can buy the premium version as well with tons of features.

30 Basic Tools For Data Visualization

8 tools for visualizing data with open source. Data visualization is the mechanism of taking tabular or spatial data and conveying it in a human-friendly and visual way.

8 tools for visualizing data with open source

There are several open source tools that can help you create useful, informative graphs. In this post we will take a look at eight open source, data visualization tools. Musique on Pinterest. Amazon lance un premier supermarché sans caisse aux États-Unis. Le géant du e-commerce a ouvert à Seattle son premier magasin alimentaire.

Amazon lance un premier supermarché sans caisse aux États-Unis

Sa particularité : il n'a pas de caisse. On y fait ses courses sans payer. Amazon a utilisé les mêmes technologies que celles de la voiture autonome. Un magasin sans caisse. Où l'on ne débourse pas un centime sur place. The Data Visualisation Catalogue. Immaterial Labour and Data Harvesting. This is the first story in our investigation trilogy titled Facebook Algorithmic Factory, created with the intention to map and visualise a complex and invisible exploitation process hidden behind a black box of the World’s largest social network.

Immaterial Labour and Data Harvesting

The three stories are exploring four main segments of the process: Data collection – Immaterial Labour and Data harvestingStorage and Algorithmic processing – Human Data Banks and Algorithmic LabourTargeting – Quantified lives on discount The following map is one of the final results of our investigation, but it can also be used as a guide through our stories, and practically help the reader to remain in the right direction and not to get lost in the complex maze of the Facebook Algorithmic Factory. With 1.6 billion active users in 2015, Facebook is heading towards fulfilling their mission to connect every person on this planet through their social network.

Those are the raw resources exploited within Facebook Factory. A.Within Facebook. Sans titre. Lev Manovich. The Database Logic After the novel, and subsequently cinema privileged narrative as the key form of cultural expression of the modern age, the computer age introduces its correlate - database.

Lev Manovich

Many new media objects do not tell stories; they don't have beginning or end; in fact, they don't have any development, thematically, formally or otherwise which would organize their elements into a sequence. Instead, they are collections of individual items, where every item has the same significance as any other. Why does new media favor database form over others? Can we explain its popularity by analyzing the specificity of the digital medium and of computer programming?

Rue89.nouvelobs. Moscou, 27 mai 2011.

rue89.nouvelobs

Le grand ciel lumineux de cette fin de printemps est trompeur, la soirée s’annonce encore glaciale. À l’est de la ville, une foule dense commence à s’agglutiner au pied du stade du Lokomotiv, l’un des grands clubs de football de la capitale russe. C’est soir de match à Moscou. Le Lokomotiv s’apprête à recevoir le FK Anji Makhatchkala, une équipe venue du lointain Daghestan. Le coup d’envoi sera donné en début de soirée, afin que les supporters puissent rallier l’antre du Lokomotiv dès la sortie des bureaux. Le FK Anji peut compter sur le soutien d’une cohorte de fans inconditionnels. Flightradar24. Comment l’affaire Google Books se termine en victoire pour le Text Mining. CNIL CAHIERS IP2 WEB.

Dominique Cardon : "Comprendre les algorithmes pour en tirer parti" Les-Data-Management-Platforms-DMP. Bien plus qu’un simple bon. Publishing%20in%20the%20Era%20of%20Big%20Data%20-%20Kobo%20Whitepaper%20Fall%202014.pdf. Sportifs connectés : champions et amateurs sous haute-surveillance. « Les données, c’est comme le vin, il faut savoir les stocker au bon endroit, et elles prennent de la valeur avec le temps.

Sportifs connectés : champions et amateurs sous haute-surveillance

Mais contrairement au vin dont il ne reste rien une fois que vous avez ouvert la bouteille et bu, les données, elles, elles restent. » Roberto Siagri (Eurotech). Book. The Cathedral of Computation. Algorithms are everywhere, supposedly.

The Cathedral of Computation

We are living in an “algorithmic culture,” to use the author and communication scholar Ted Striphas’s name for it. Google’s search algorithms determine how we access information. Dear Data. Information aesthetics - Data Visualization & Information Design. Ecole des Données. Event Processing. Why store data to find out what happened or what could have been when you can act on events as they occur? TIBCO's event-driven solutions allow you to capture, aggregate, and analyze real-time and historical data of any variety, volume, and velocity to gain contextual awareness and act preemptively. Anticipate. David M. Andrzejewski. Strata-2015-slides.pdf. Big Data Conference - Strata + Hadoop World, February 17 - 20, 2015, San Jose, CA.

What previous attendees have said I learned more about big data in just three days attending Strata than in one year doing research on my own. One of the most valuable events to advance my career. This is probably the pinnacle of Big Data conferences to attend for networking and getting the latest updates on ground breaking new technologies in the Big Data space. See the Agenda Strata + Hadoop World brings together the best minds in strategy, science, and industry for the defining event of the data industry. The depth and breadth of what's covered requires 10 different tracks just to organize it all. Other events at Strata + Hadoop World include: The future belongs to those who know how to use data.

Don't miss it. Important Dates Early Price ends January 9, 2015Trainings: February 17-20, 2015Conference: February 18-20, 2015 - Tutorials: February 18, 2015 - Keynotes, Sessions, & Expo Hall: February 19-20, 2015. Data analysis and commentary: O'Reilly Radar. An alternate perspective on data-driven decision making The O'Reilly Radar Podcast: Tricia Wang on "thick data," purpose-driven problem solving, and building the ideal team.

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