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 […]
Technologies
[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 […]
[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 […]
[Datasciencecentral] BigDataFr recommends: Data Scientists – Are You Prepared For Your Next Interview?
BigDataFr recommends: Data Scientists – Are You Prepared For Your Next Interview? […] You’ve perfected your CV, got great experience under your belt, maybe a PhD and can wrangle data amongst the finest but just how prepared are you for your next interview? Just the thought of the face-to-face interview stage is enough to strike […]
[La Tribune] BigDataFr recommande : De l’importance des mathématiques dans les traitements de données
BigDataFr recommande : De l’importance des mathématiques dans les traitements de données […] Typiquement, les données issues des réseaux sociaux, de Facebook, Twitter ou Instagram sont principalement textuelles et donc nécessitent d’importants travaux pour les exploiter. Ceux qui ont une formation en mathématique, ou mieux encore en statistiques ont l’habitude de penser des données comme […]
[Dataconomy] BigDataFr recommends: FinTech in the Banking Environment
BigDataFr recommends: FinTech in the Banking Environment […] Who goes there, friend or foe? The emergence and development of innovative and flexible financial startups is causing a revolution in financial markets by proving that financial services can be built from the ground up, in response to real user needs. So much so that gaining customers’ […]