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A Programmer's Guide to Data Mining

A Programmer's Guide to Data Mining
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Academic Ranking of World Universities | ARWU | First World University Ranking | Shanghai Ranking Exploration de données Un article de Wikipédia, l'encyclopédie libre. Vous lisez un « bon article ». L'utilisation industrielle ou opérationnelle de ce savoir dans le monde professionnel permet de résoudre des problèmes très divers, allant de la gestion de la relation client à la maintenance préventive, en passant par la détection de fraudes ou encore l'optimisation de sites web. C'est aussi le mode de travail du journalisme de données[1]. L'exploration de données[2] fait suite, dans l'escalade de l'exploitation des données de l'entreprise, à l'informatique décisionnelle. Histoire[modifier | modifier le code] Collecter les données, les analyser et les présenter au client. De 1919 à 1925, Ronald Fisher met au point l'analyse de la variance comme outil pour son projet d'inférence statistique médicale. L'arrivée progressive des micro-ordinateurs permet de généraliser facilement ces méthodes bayésiennes sans grever les coûts. Applications industrielles[modifier | modifier le code]

Pseudonymization vs. Anonymization and How They Help With GDPR January 5, 2017 Pseudonymization and Anonymization are two distinct terms that are often confused in the data security world. With the advent of GDPR, it is important to understand the difference, since anonymized data and pseudonymized data fall under very different categories in the regulation. Pseudonymization and Anonymization are different in one key aspect. You can think about it in terms of authors. In practice, let’s look at tokenization. Here, with the pseudonymized data, we may not know the identity of the data subject, but we can correlate entries with specific subjects (records 1 and 7 reference the same person, records 2 and 5 reference the same person, records 3 and 4 reference the same person). Pseudonymization is a method to substitute identifiable data with a reversible, consistent value. With Anonymization, we must also be concerned about “indirect re-identification”. “50 people went to this coffee shop every morning.” “100 people got money from this ATM every Friday.”

the museum of science, art and human perception * Algorithm (Photography) - Definition - Lexicon & Encyclopedia AlgorithmAn algorithm describes a set procedure to complete a task in computing. It comprises the actions needed to complete a specific task, or for solving a specific problem. [>>>] How do algorithms listen to music?From copyright monitoring and cover song detection to classifications of all kinds (genre, style, mood, key, year, epoch), all the way to the music curation war waged by the music streaming titans, ... [>>>] Demosaicing Algorithms: Color FilteringPrev NEXTA more economical and practical way to record the primary colors is to permanently place a filter called a color filter array over each individual photosite. [>>>] The one clear thing about how the Instagram ~[⇑] works is that posts with high engagement rates show up first on users' feeds. [>>>] ~[⇑]s[edit]Simple interpolation[edit]These ~[⇑]s are examples of multivariate interpolation on a uniform grid, using relatively straightforward mathematical operations on nearby instances of the same color component. [>>>]

What’s the “problem” with MOOCs? « EdTechDev In case the quotes didn’t clue you in, this post doesn’t argue against massive open online courses (MOOCs) such as the ones offered by Udacity, Coursera, and edX. I think they are very worthy ventures and will serve to progress our system of higher education. I do however agree with some criticisms of these courses, and that there is room for much more progress. I propose an alternative model for such massive open online learning experiences, or MOOLEs, that focuses on solving “problems,” but first, here’s a sampling of some of the criticisms of MOOCs. Criticisms of MOOCs Khan Academy The organization is unclear and it lacks sufficient learner support.The videos aren’t informed by research and theory on how people learn, and this may diminish the effectiveness of his videos. Are MOOCs a Horseless Carriage? In the book How People Learn (which can be read free online), John Bransford shared the story of Fish is Fish. MOOC or MMORPG? From MOOC to MOOLE Who’s the teacher in a MOOLE?

Experts on the Pros and Cons of Algorithms Algorithms are instructions for solving a problem or completing a task. Recipes are algorithms, as are math equations. Computer code is algorithmic. The internet runs on algorithms and all online searching is accomplished through them. Email knows where to go thanks to algorithms. Algorithms are often elegant and incredibly useful tools used to accomplish tasks. The British pound dropped 6.1% in value in seconds on Oct. 7, 2016, partly because of currency trades triggered by algorithms.Microsoft engineers created a Twitter bot named “Tay” this past spring in an attempt to chat with Millennials by responding to their prompts, but within hours it was spouting racist, sexist, Holocaust-denying tweets based on algorithms that had it “learning” how to respond to others based on what was tweeted at it.Facebook tried to create a feature to highlight Trending Topics from around the site in people’s feeds. Theme 1: Algorithms will continue to spread everywhere Theme 2: Good things lie ahead

8 Books For a Higher Existence Books are magical inventions. By carrying meaning, they gives us glimpses of experience and knowledge from a different world. Phonetic language, being cut-off from time and place, the Now, helps both to encapsulate the ego more, but also to offer guidance to make it poriferous, letting Eros free. Without books we would lose this guidance. If you’re done reading this list and want to level up more – check out part two! Thus Spoke Zarathustra – Friedrich Nietzsche Thus Spoke Zarathustra is Nietzsche’s most prophetic book in which he offers his teachings through the words of Zarathustra, based on the Persian prophet Zoroaster, who, after spending ten years on a mountain in meditation only accompanied by his Eagle and Serpent, comes down to offer his wisdom to the world. Becoming Animal – David Abram Abram’s first book The Spell of the Sensuous convincingly argued that being human is inseparably interconnected with everything that is not human. The Story of B – Daniel Quinn

A Year in Reading 2012 By C. Max Magee posted at 6:00 am on December 3, 2012 20 The end of another year is here (so soon? Ah, I’m getting old), and with it a flood of valedictory lists and wrap ups, accountings and scorecards. Each year, as these lists spill out across the landscape, the onslaught becomes difficult to parse and begins to feel suspiciously (to us, anyway) like a marketing boondoggle to support the promotional-book-cover-sticker-and-blurb industry. There are so many “best of the year” lists that everything is the best (and sometimes also the worst). So, how can we have some year-end fun while still extracting something meaningful from the effort? We readers tend to be a thoughtful bunch, noting down the titles we have read or lining them up one by one on a shelf. And so in preparing our annual Year in Reading series, we’ve asked our esteemed guests to take us on a tour of these pinnacles and to give an accounting of these treks. The good stuff: The Millions’ Notable articles

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