{"id":1280,"date":"2015-12-04T11:13:53","date_gmt":"2015-12-04T11:13:53","guid":{"rendered":"http:\/\/localhost\/blog\/?p=1280"},"modified":"2017-08-04T08:07:18","modified_gmt":"2017-08-04T08:07:18","slug":"data-science-articles","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/fr\/data-science-articles\/","title":{"rendered":"Cinq articles incontournables sur la science des donn\u00e9es"},"content":{"rendered":"

La science des donn\u00e9es est aujourd'hui un ph\u00e9nom\u00e8ne, et tout le monde semble en parler. Cependant, la quantit\u00e9 de litt\u00e9rature flottant sur ce sujet est \u00e9norme. Il devient difficile pour les professionnels occup\u00e9s de suivre les diff\u00e9rents blogs et sites web pour rester \u00e0 jour des d\u00e9veloppements dans ce domaine. Voici une liste d'articles perspicaces provenant de sources cr\u00e9dibles.<\/p>\n

1. 10 cas d'utilisation du Big Data que tout le monde doit lire<\/a> - Cet article sur Data Science Central<\/a> provides a very insightful summary of Big Data use cases for companies, individuals, governments, sports bodies, recherche<\/a> et les n\u00e9gociants financiers.<\/p>\n

2. Redis : mettre le feu au Big Data<\/a> - Le vice-pr\u00e9sident du marketing produit de Redis Labs expose les avantages distincts de l'utilisation de Redis pour les applications de Big Data dans un article sur \u00e0 l'int\u00e9rieur de BIGDATA<\/a>. L'article se concentre sur la fa\u00e7on dont Redis, bien qu'il ait \u00e9t\u00e9 con\u00e7u pour traiter de petites donn\u00e9es, peut en fait s'av\u00e9rer tr\u00e8s utile pour les applications de big data.<\/p>\n

3. 10 livres gratuits sur l'apprentissage automatique<\/a> - Avec l'av\u00e8nement du Big Data, l'int\u00e9r\u00eat pour l'apprentissage automatique a lui aussi augment\u00e9. Cet article fournit une liste de quelques ouvrages de r\u00e9f\u00e9rence utiles pour acqu\u00e9rir les bonnes bases.<\/p>\n

4. Le march\u00e9 d'Hadoop s'acc\u00e9l\u00e8re et se fraye un chemin vers le grand public<\/a> - Cet article sur Hadoop fait fi de la perception selon laquelle Hadoop est sur le d\u00e9clin. En fait, il s'agit d'une des technologies \u00e9mergentes les plus rapides dans le domaine du Big Data et elle est en train de devenir un \u00e9l\u00e9ment essentiel de l'informatique d'entreprise.<\/p>\n

5. 4 \u00e9tapes faciles pour devenir un scientifique des donn\u00e9es<\/a> - Bien que cet article date de plus d'un an, il fournit des conseils tr\u00e8s utiles aux data scientists en herbe pour se lancer.<\/p>\n

Nous pr\u00e9voyons de partager des articles plus pertinents chaque semaine et nous aimerions avoir votre avis sur les sujets que vous souhaiteriez que nous couvrions en mati\u00e8re de science des donn\u00e9es.<\/p>","protected":false},"excerpt":{"rendered":"

Data science is a phenomenon now, and just about everyone seems to be talking about it. However, the amount of literature floating around on this topic itself is enormous. It gets difficult for busy professionals to keep tab of various blogs and websites to remain updated of developments within this domain. Here is a list<\/p>\n

Lire la suite<\/a><\/div>","protected":false},"author":4,"featured_media":959,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[119,175,101,188,187,186],"acf":[],"yoast_head":"\nFive must-read data science articles this week: Brought to you by Kolabtree<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/fr\/data-science-articles\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Five must-read data science articles\" \/>\n<meta property=\"og:description\" content=\"Data science is a phenomenon now, and just about everyone seems to be talking about it. However, the amount of literature floating around on this topic itself is enormous. 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