BigDataFr recommends: How Data Nerds Found A 131-Year-Old Sunken Treasure ‘The SS Central America, a steamer carrying a cache of gold, sank off the southeast coast of the United States in 1857. Part mystery, part adventure story, “In Deep Water,” directed by Steven Leckart and presented by ESPN Films and FiveThirtyEight, recounts the tale of […]
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[La Revue du Digital] BigDataFr recommande : Voyages-SNCF.com découvre avec délice les Data Scientists
BigDataFr recommande : Voyages-SNCF.com découvre avec délice les Data Scientists « Le Big Data apporte des bénéfices concrets et bouleverse les modes de travail chez Voyages-SNCF.com. C’est ce qu’a décrit Marie-Laure Cassé, Head of CRM and Data – autrement dit la directrice du marketing digital – chez voyages-SNCF.com à l’occasion d’une table ronde organisée lors du […]
[O’R] BigDataFr recommends: Data science makes an impact on Wall Street #datascientist #machinelearning #quant
BigDataFr recommends: Data science makes an impact on Wall Street The O’Reilly Data Show Podcast: Gary Kazantsev on how big data and data science are making a difference in finance. ‘Having started my career in industry, working on problems in finance, I’ve always appreciated how challenging it is to build consistently profitable systems in this […]
[The DataCamp Blog] BigDataFr recommends: Choosing R or Python for data analysis? An infographic
BigDataFr recommends: Choosing R or Python for data analysis? An infographic ‘I think you’ll agree with me if I say: It’s HARD to know whether to use Python or R for data analysis. And this is especially true if you’re a newbie data analyst looking for the right language to start with. It turns out […]
[arxiv] BigDataFr recommends: Computing on Masked Data to improve the Security of Big Data
BigDataFr recommends : Computing on Masked Data to improve the Security of Big Data Organizations that make use of large quantities of information require the ability to store and process data from central locations so that the product can be shared or distributed across a heterogeneous group of users. However, recent events underscore the need […]
[Forbes] BigDataFr recommends: How Big Data And The Internet Of Things Create Smarter Cities
BigDataFr recommends: How Big Data And The Internet Of Things Create Smarter Cities « “Smart city” is a term we are going to be hearing a lot more of in the coming years. It’s thought that by 2020 we will be spending $400 billion a year building them – but what are they? The idea is […]
[LMI] BigDataFr recommande : IBM et Deloitte misent sur le big data pour la gestion des risques
BigDataFr recommande : IBM et Deloitte misent sur le big data pour la gestion des risques « Dans le cadre d’un partenariat continu, IBM et Deloitte ont mis au point un système capable d’analyser les réglementations gouvernementales relatives aux questions financières et de les comparer aux propres cadres mis en place par les entreprises afin qu’elles […]
[LesEchosBusiness] BigDataFr recommande : Big Data : les questions que se posent les futurs professionnels
BigDataFr recommande : Big Data : les questions que se posent les futurs professionnels « Le Big Data pose question. Des consommateurs avertis s’interrogent sur la puissance des algorithmes. […] Le 14 avril dernier, une cinquantaine de futurs professionnels, inscrits au cursus double-compétences de la Ionis School Of Technology and Management (Ionis-STM), ont écouté la présentation […]
[arXiv] BigDataFr recommends: Network Filtering for Big Data
BigDataFr recommends: Network Filtering for Big Data: Triangulated Maximally Filtered Graph ‘We propose a network-filtering method, the Triangulated Maximally Filtered Graph (TMFG), that provides an approximate solution to the Weighted Maximal Planar Graph problem. The underlying idea of TMFG consists in building a triangulation that maximizes a score function associated with the amount of information […]
[arXiv] BigDataFr recommends: Two models at work on Big Data application frameworks
BigDataFr recommends: Actors vs Shared Memory: two models at work on Big Data application frameworks ‘This work aims at analyzing how two different concurrency models, namely the shared memory model and the actor model, can influence the development of applications that manage huge masses of data, distinctive of Big Data applications. The paper compares the […]