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Le livre "L’open data, comprendre l’ouverture des données publiques" (Simon Chignard, Fyp Editions mars 2012, préface de Jacques-François Marchandise, FING) Pour acheter le livre en ligne (sur, cliquer sur le lien suivant : L’Open data La donnée est au coeur du fonctionnement des institutions publiques, de l’Etat aux collectivités. Elle permet d’aider à la décision, d’évaluer les politiques mises en oeuvre ou de faire vivre les services urbains de notre vie quotidienne (transports, vie culturelle, économie, politique sociale, …). L’open data consiste à mettre à disposition toutes les données publiques numériques non nominatives, ne relevant pas de la vie privée ni de la sécurité. Ce livre montre comme l’open data peut être source d’innovation tant pour les institutions que pour ceux qui réutilisent les données publiques, dans les domaines économiques, culturels et sociaux: comment concrètement initier et animer une démarche d’ouverture de données publiques ? Like this: J'aime chargement…

The One-Stop Shop for Big Data Today, I’m going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper. Once you know what they are, how they work, what they do and where you can find them, my hope is you’ll have this blog post as a springboard to learn even more about data mining. What are we waiting for? Let’s get started! Here are the algorithms: 1. What does it do? C4.5 constructs a classifier in the form of a decision tree. Wait, what’s a classifier? A classifier is a tool in data mining that takes a bunch of data representing things we want to classify and attempts to predict which class the new data belongs to. What’s an example of this? Sure, suppose a dataset contains a bunch of patients. Now: Given these attributes, we want to predict whether the patient will get cancer. And here’s the deal: Cool, so what’s a decision tree? Decision tree learning creates something similar to a flowchart to classify new data. The bottomline is: Why use C4.5?

Crisis Mappers - THE HUMANITARIAN TECHNOLOGY NETWORK ŷhat | Unearthing Data to Unleash Impact: Using Unique Data Sources to Drive Change About Nick: Nick is the Data Science Manager at DataKind, an organization committed to harnessing the power of data science in the service of humanity. He loves empowering mission-driven organizations through data, and was previously a Data Scientist at the Center for Data Science and Public Policy and the Data Science for Social Good Fellowship. About Neal: Neal is Director of Social Impact at Tableau Software and Director of Tableau Foundation, which encourages the use of facts and analytical reasoning to solve the world’s problems. Neal has served in both private and nonprofit senior leadership positions at intersection of information technology and social change. Introduction At DataKind and Tableau Foundation, we regularly work with nonprofits that have important questions to answer, but not necessarily the data to do so. Or, at least, they don’t think they have the data to do so. 1. In 2009, Kenya was struggling through a major food crisis. 2. Enter Google Maps! 3. Dig In

About We help individuals and businesses to get, clean, visualise, analyse and manage data from thousands of sources. For science, journalism, lead generation—whatever you need. The magic happens via “tools” running on our self-service platform. But we also offer managed services for corporate customers who want to make the most of their public and private data. Our team Francis Irving CEO A technology leader, Francis created the original TortoiseCVS, which has improved version… More » control for tens of millions of people. Dr Ian Hopkinson Senior Data Scientist 8 years as an academic soft matter physicist, then research scientist at Unilever Plc for 8 years… More » with experience of numerical models, simulations, data analysis, visualisation, image processing using Matlab, R and Python amongst other technologies. Dave ‘Dragon’ McKee Data Scientist Paul Furley Data Scientist Dr Steven Maude Data Scientist Aine McGuire CMO Aidan McGuire Business Development Director David Jones First Engineer Thanks

Data journalism at the Guardian: what is it and how do we do it? | News Data journalism. What is it and how is it changing? Photograph: Alamy Here's an interesting thing: data journalism is becoming part of the establishment. Two years ago, when we launched the Datablog, all this was new. Meanwhile every day brings newer and more innovative journalists into the field, and with them new skills and techniques. These are some of the threads from my recent talks I thought it would be good to put in one place - especially now we've got an honourable mention in the Knight Batten award for journalistic innovation. 1. Florence Nightingale's 'coxcomb' diagram on mortality in the army Data journalism has been around as long as there's been data - certainly at least since Florence Nightingale's famous graphics and report into the conditions faced by British soldiers of 1858. The big difference? 2. 3. Sometimes. 4. Read more about this map The datasets are getting massive - 391,000 records for Wikileaks' Iraq release, millions for the Treasury Coins database. 5. 6. 7.

quora Geeks Without Bounds New Tool Puts Dollar Value on Social Projects Measuring the social impact of building low-cost housing, child-care centers, and health clinics in poor neighborhoods isn’t easy. But a new online tool takes a stab at putting a dollar value on such building projects, based on the best available social-science research. The Social Impact Calculator is the result of the Low Income Investment Fund’s effort to measure the effect of its own work. The fund couldn’t afford to do long-term studies on the people whose lives have been touched by the apartment buildings, schools, and clinics it finances. So the group sought out high-quality research that allows it to estimate a monetary value, says Nancy O. Andrews, chief executive of the Low Income Investment Fund. For example, she says, the fund uses research conducted by James Heckman, a Nobel Prize-winning economist, to put a dollar value on its work financing early-education centers. While anyone can use the calculator, Ms. Says Ms.

VIS. Visual Investigative Scenarios platform: Pages « Pour faire du datajournalisme, il faut savoir maîtriser Excel » Nicolas Kayser-Bril, datajournaliste chez Owni | Data News Vidéo – Star française du Data Journalisme, NKB répond à Data News pour une interview 75% data et 25% LoL, parce qu’il faut pas déconner, quand même. DataNews : Ca fait un moment qu’on parle du data journalisme et de l’ouverture des données, où en est-on aujourd’hui ? Nicolas Kayser-Bril : L’accès aux données reste très compliqué encore aujourd’hui. Pas mal d’initiatives ont lieu sur l’ouverture des données publiques mais on reste dans une logique très topdown où c’est le décideur qui va gracieusement mettre en ligne cinq ou dix jeux de données. C’est ce qui s’est passé pour l’ouverture des données publiques à Paris où on nous présente quinze jeux de données et on nous dit “voilà on a ouvert !”. Mais avoir le nombre de naissances par hôpital à Paris, ce n’est pas très intéressant. Y a t-il plus de datajournalistes ? Je ne sais pas s’il y a plus de data journalistes. Les grands médias s’ouvrent-ils au datajournalisme ? Tu as vu naître des vocations de datajournaliste ? Non je ne pense pas.

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