BigDataFr recommends: Data Modeling for Better Online Education […] The Learning Lab at the French Institute for Computer Science and Applied Mathematics (Inria) pioneered the development of MOOCs in France. Today, the lab’s research teams in Grenoble and Sophia Antipolis share innovative teaching methods developed through technology watch and prototype design. A trailblazer in French […]
Documentation
[Datasciencecentral] BigDataFr recommends: How can actuarial science skills be applied in investment banking?
BigDataFr recommends: How can actuarial science skills be applied in investment banking? […] To understand how skills in actuarial science can be applied to investment banking we need to understand what actuarial science deals with. So what is actuarial science? Actuarial science can be defined as the application of mathematical skills to social science to solve […]
[arXiv] BigDataFr recommends: Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads
BigDataFr recommends: Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Performance (cs.PF) […] Though the big data benchmark suites like BigDataBench and CloudSuite have been used in architecture and system researches, we have not yet answered the fundamental issue– what are abstractions of frequently-appearing units of […]
[arXiv] BigDataFr recommends: Big Data Visualization Tools
BigDataFr recommends: Big Data Visualization Tools […] Subjects: Databases (cs.DB); Graphics (cs.GR); Human-Computer Interaction (cs.HC) Data visualization is the presentation of data in a pictorial or graphical format, and a data visualization tool is the software that generates this presentation. 1. Synonym Data visualization provides users with intuitive means to interactively explore and analyze data, […]
[HAL] BigDataFr recommande : La visualisation d’information à l’ère du Big Data : résoudre les problèmes de scalabilité par l’abstraction multi-échelle
BigDataFr recommande : La visualisation d’information à l’ère du Big Data : résoudre les problèmes de scalabilité par l’abstraction multi-échelle Résumé […] L’augmentation de la quantité de données à visualiser due au phénomène du Big Data entraîne de nouveaux défis pour le domaine de la visualisation d’information. D’une part, la quantité d’information à représenter dépasse […]
[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 […]
[Forbes France] BigDataFr recommande : Premières Saveurs Du CES 2018, Vers Des Technologies Plus Humaines
BigDataFr recommande : Premières Saveurs Du CES 2018, Vers Des Technologies Plus Humaines […]Quitte d’ailleurs à marcher sur les plates-bandes du Mobile World Congress de Barcelone, l’événement mondial de la GSMA, le club des opérateurs télécom. Il est indéniable que les critiques, pour beaucoup jalouses, faites au CES, coïncident avec une montée en puissance qualitative […]
[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, […]