[ZDNet] BigDataFr recommande : Avec AWS et Azure en vue, Alibaba développe son cloud

BigDataFr recommande :Avec AWS et Azure en vue, Alibaba développe son cloud La gestion par les entreprises mondiales de leur infrastructure logicielle métier est à l’origine d’une ère de transformation majeure. De plus en plus, elles se tournent vers des datacenters cloud plutôt que des centres de données internes. Cette évolution représente une opportunité considérable […]

[HAL] BigDataFr recommends: Distributed Data Stream Processing and Edge Computing: A Survey on Resource Elasticity and Future Directions

BigDataFr recommends: Smarter Round Robin Scheduling Algorithm for Cloud Computing and Big Data Abstract […] Under several emerging application scenarios, such as in smart cities, operational monitoring of large infrastructure, wearable assistance, and Internet of Things, continuous data streams must be processed under very short delays. Several solutions, including multiple software engines, have been developed […]

[Datasciencecentral] BigDataFr recommends: A Simple Introduction to Complex Stochastic Processes

BigDataFr recommends: Introduction to Market Mix Modeling […] Stochastic processes have many applications, including in finance and physics. It is an interesting model to represent many phenomena. Unfortunately the theory behind it is very difficult, making it accessible to a few ‘elite’ data scientists, and not popular in business contexts. One of the most simple […]

[Dataconomy] BigDataFr recommends: Blockchain and Data Storage: The Future is Decentralized

BigDataFr recommends: Blockchain and Data Storage: The Future is Decentralized […] 2017 was the year when blockchain technology burst into the public consciousness. Even beyond the truly startling rise of cryptocurrencies, we became aware of how a range of markets could be transformed by applications built on the technology. But as with any emerging technology […]

[Salon @bigdataparis les 12 & 13 mars 2018] L’événement leader du Big Data en France – Réservez votre place ! #machinelearning #IntelligenceArtificielle

[A vos agendas] Salon Big Data Paris 2018, l’événement leader du Big Data en France Je réserve mon badge dès maintenant BigDataFr est partenaire du Salon Big Data Paris qui se tiendra les 12 et 13 mars 2018 de 8h30 à 19h00 au Palais des Congrès. Voir infos pratiques Pour cette 7ème année consécutive, le […]

[arXiv] BigDataFr recommends: Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages

BigDataFr recommends: Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages […] Subjects: Methodology (stat.ME) Due to the escalating growth of big data sets in recent years, new parallel computing methods have been developed for large scale Bayesian analysis. These methods partition large data sets by observations into subsets, […]

[HAL] BigDataFr recommends: Sequential linear regression with online standardized data

BigDataFr recommends: Sequential linear regression with online standardized data Abstract […] The present study addresses the problem of sequential least square multidimensional linear regression, particularly in the case of a data stream, using a stochastic approximation process. To avoid the phenomenon of numerical explosion which can be encountered and to reduce the computing time in […]

[arXiv] BigDataFr recommends: Deep Learning for IoT Big Data and Streaming Analytics: A Survey

BigDataFr recommends: Deep Learning for IoT Big Data and Streaming Analytics: A Survey […] Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Databases (cs.DB); Networking and Internet Architecture (cs.NI) In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of […]

[HAL] BigDataFr recommends: Distributed Data Stream Processing and Edge Computing: A Survey on Resource Elasticity and Future Directions

BigDataFr recommends: Distributed Data Stream Processing and Edge Computing: A Survey on Resource Elasticity and Future Directions Abstract […] Under several emerging application scenarios, such as in smart cities, operational monitoring of large infrastructure, wearable assistance, and Internet of Things, continuous data streams must be processed under very short delays. Several solutions, including multiple software […]

[Observatoire des métiers de la banque] BigDataFr recommande : L’intelligence artificielle dans la banque : emploi et compétences

BigDataFr recommande: L’intelligence artificielle dans la banque : emploi et compétences […] L’Observatoire des métiers de la banque a pris la décision, par son Comité de pilotage paritaire, en date du 24 février 2017, d’engager une étude sur l’impact de l’intelligence artificielle (IA) sur les métiers et compétences. Cette étude s’inscrit dans la continuité des […]