BigDataFr recommends: Telcos: The untapped promise of big data Now that subscribers constantly connect to their networks through voice, text, and other smartphone interactions, telecom companies have access to huge quantities of data. Yet relatively few of those that have adopted big data architectures and analytics technologies have pushed aggressively enough to profit from them […]
Innovation
[Datasciencecentral – Top] BigDataFr recommends: 40 Techniques Used by Data Scientists
BigDataFr recommends: 40 Techniques Used by Data Scientists […] These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design proprietary tools. When you click on any of the 40 links below, you will find a selection […]
[Datascienceplus – Tutorial] BigDataFr recommends: Visualizing obesity across United States by using data from Wikipedia
BigDataFr recommends: Visualizing obesity across United States by using data from Wikipedia […] In this post the author will show how to collect data from a webpage and to analyze or visualize in R. For this task the author will use the rvest package and will get the data from Wikipedia. He got the idea […]
[Les Echos] BigDataFr recommande : Nouveaux chantiers et nouvelles méthodes
BigDataFr recommande :Nouveaux chantiers et nouvelles méthodes […]Parler de transformation numérique, c’est essentiellement penser à la façon qu’ont les entreprises de se rapprocher de leurs clients afin de mieux les connaître. Les opérateurs télécoms et les fournisseurs d’applications pour smartphone utilisent, par exemple, notre localisation GPS – avec notre autorisation –pour nous identifier plus rapidement […]
[Informationweek] BigDataFr recommends: BigDataFr recommends: IoT Revenue May Reach $357 Billion By 2018
BigDataFr recommends: IoT Revenue May Reach $357 Billion By 2018 Internet of Things revenue is expected to soar 16.1% by 2019, as US companies look to leverage the technology that provides connected data sharing to remote task-oriented capabilities, according to an IDC report released Wednesday. In the years leading up to 2019, IDC says it […]
[Challenge ITV] BigDataFr recommande : Faut-il avoir peur de l’intelligence artificielle?
BigDataFr recommande: Faut-il avoir peur de l’intelligence artificielle? […] Entretien avec Stéphane Mallard, évangéliste digital dans les salles de marché de la Société générale. Paul Loubière : Faut-il avoir peur de l’intelligence artificielle ? Stéphane Mallard : Il y a une effervescence sur l’intelligence artificielle, l’IA comme on dit dans notre jargon, depuis les start-up jusqu’au […]
[Analyticsvidhya – Tip] BigDataFr recommends: 12 Free Mind Mapping Tools For a Data Scientist To Enhance Structured Thinking
BigDataFr recommends: 12 Free Mind Mapping Tools For a Data Scientist To Enhance Structured Thinking […] Let us start this with a simple exercise, the kind of which every data scientist faces regularly: « You have been appointed as a store manager for our worst performing store. What are the possible factors / changes you would […]
[JDN] BigDataFr recommande : L’IoT rend le Tour de France plus attractif #iot
BigDataFr recommande: L’IoT rend le Tour de France plus attractif […] Les spectateurs du Tour de France, massés derrière les barrières qui longent les routes de l’Hexagone, ne verront plus passer en coup de vent une silhouette non-identifiée sur un vélo. Depuis 2015, ils peuvent connaître la position exacte des coureurs en temps réel et […]
[LMI] BigDataFr recommande : Teratec 2016 : Big data et simulation numérique dopés au HPC
BigDataFr recommande : Teratec 2016 : Big data et simulation numérique dopés au HPC […] « La haute performance tire les technologies du numérique qui vont forger la société du futur », a lancé Gérard Roucairol, président de Teratec en ouverture de la 11e édition du forum Teratec mardi matin qui se tient en ce […]
[Code – Facebook] BigDataFr recommends: Lighting the way to deep machine learning
BigDataFr recommends: Lighting the way to deep machine learning […] Building rapid and clean prototypes for deep machine-learning operations can now take a big step forward with Torchnet, a new software toolkit that fosters rapid and collaborative development of deep learning experiments by the Torch community. Introduced and open-sourced this week at the International Conference […]