BigDataFr recommends: [2-day Workshop] Big Data: Modeling, Estimation and Selection 9-10 June, 2016 LILLE1 Presentation The expression Big Data refers to the problem of mining huge heterogeneous datasets to perform machine learning or detect interesting links and unsuspected signals. This evokes, on top of the last trendy scientific news, many different mathematical problems that will […]
Month: février 2016
[Cyfe] BigDataFr recommends: 4 Game Changing Predictions for Big Data Analytics in 2016
BigDataFr recommends: 4 Game Changing Predictions for Big Data Analytics in 2016 Everyday the human race creates 2.5 quintillion bytes of data. 2.5 quintillion bytes … that’s 2.5 followed by 17 zeros. Most of this data is generated at extremely high speeds from diverse sources, including audio, video, social, online activity, cloud applications, and text […]
[Datasciencecentral] BigDataFr recommends: BIG Data & Analytics, Data Science, Machine Learning – Random Insights!
BigDataFr recommends: BIG Data & Analytics, Data Science, Machine Learning – Random Insights! #1: What really is BIG Data? Today, we can store and process so much data that we have nearly captured reality; no more sampling biases/ errors or related issues – this is my definition of Big Data; not tera or peta bytes! […]
[L’OBS] BigDataFr recommande : Informatique : embauche garantie
BigDataFr recommande: Informatique : embauche garantie A 23 ans, Jade Copet occupe déjà un job en or. Attirée par le design industriel, elle voulait « pouvoir créer quelque chose ». Le secteur offrant peu d’emplois, elle a bifurqué vers l’informatique. « J’ai découvert que ce domaine fournissait lui aussi la possibilité d’exprimer sa créativité, d’inventer un produit, avec […]