BigDataFr recommends: How Hillary’s Campaign is (Almost Certainly) Using Big Data […] The evidence suggests her campaign is using a highly targeted technique that worked for Obama—but which Trump may not be taking advantage of Analytics will win votes this year. Science, as it did in 2012, is playing an important role for mass voter […]
Documentation
[Inscrivez-vous !] Certificat Big Data @UPMC – Rentrée le 26 Septembre 2016 #datascientist
Le Certificat Big Data de l’UPMC : début des cours le lundi 26 septembre 2016 Pour qui ? Le certificat est ouvert à tous les étudiants en cours de formation et/ou travaillant déjà en entreprise de niveau M2 en maths appliquées, informatique, statistique…. Les étudiants devront justifier d’une certaine aisance dans les langages de programmation […]
[CNRS Le Journal] BigDataFr recommande : Préserver les données de la recherche à l’ère du Big Data
BigDataFr recommande : Préserver les données de la recherche à l’ère du Big Data […] Connaissez-vous le « projet valise » ? C’est l’histoire d’une équipe de chercheurs en physique des particules qui souhaite analyser les données d’une expérience vingt ans plus tard avec de nouveaux outils et découvrent ces données enregistrées sur de vieilles […]
[arXiv] BigDataFr recommends: Clustering Mixed Datasets Using Homogeneity Analysis with Applications to Big Data
BigDataFr recommends: Clustering Mixed Datasets Using Homogeneity Analysis with Applications to Big Data Subjects: Machine Learning (stat.ML) […] Clustering datasets with a mix of continuous and categorical attributes is encountered routinely by data analysts. This work presents a method to clustering such datasets using Homogeneity Analysis. An Optimal Euclidean representation of mixed datasets is obtained […]
[Linc] BigDataFr recommande : Comment les jeux se jouent-ils de nous ? Pokémon, économie des données et analyse comportementale
BigDataFr recommande: Comment les jeux se jouent-ils de nous ? Pokémon, économie des données et analyse comportementale Pokémon Go bat donc tous les records. Le plus grand nombre de téléchargements des magasins d’applications, le plus grand nombre d’utilisateurs en une semaine, etc. Et les médias se régalent de ces images de masses de joueurs collés […]
[arXiv] BigDataFr recommends: Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization
BigDataFr recommends: Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization: Model and Convergence Subjects: Optimization and Control (math.OC); Distributed, Parallel, and Cluster Computing (cs.DC) […] We propose a novel asynchronous parallel algorithmic framework for the minimization of the sum of a smooth nonconvex function and a convex nonsmooth regularizer, subject to both convex and nonconvex constraints. […]
[Dataconomy] BigDataFr recommends: http://dataconomy.com/simplifying-data-acquisition-augmentation/
BigDataFr recommends: Simplifying Data acquisition & augmentation […] As can likely be expected, big data analytics is in the midst of an evolution. It’s a typical sight for nearly any new technology as experts and organizations get more used to all of its capabilities. Big data is certainly no exception to these changes, especially as […]
[Informationweek] BigDataFr recommends: 12 Types Of Data IT Can’t Afford To Overlook
BigDataFr recommends: 12 Types Of Data IT Can’t Afford To Overlook Your organization probably already has more data than it knows what to do with. Yet, it’s quite likely you’re overlooking, disregarding, unaware of, or unable to access important information that could directly affect analyses and business outcomes. It doesn’t matter what your universe of […]
[HAL]] BigDataFr recommends: Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data
BigDataFr recommends: Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data Keywords: Nearest neighbor, Trajectory join, Big trajectory data, MapReduce. Abstract […] Trajectory data are prevalent in systems that monitor the locations of moving objects. In a location-based service, for instance, the positions of vehicles are continuously monitored through GPS; the trajectory of each vehicle […]
[O’R] BigDataFr recommends: 3 ideas to add to your data science toolkit
BigDataFr recommends: 3 ideas to add to your data science toolkit I’m always on the lookout for ideas that can improve how I tackle data analysis projects. I particularly favor approaches that translate to tools I can use repeatedly. Most of the time, I find these tools on my own—by trial and error—or by consulting […]