BigDataFr recommends: Data Mining for Predictive Social Network Analysis Social networks, in one form or another, have existed since people first began to interact. Indeed, put two or more people together and you have the foundation of a social network. It is therefore no surprise that, in today’s Internet-everywhere world, online social networks have become […]
Month: décembre 2015
[HAL] BigDataFr recommends: Large Interactive Visualization of Density Functions on Big Data Infrastructure
BigDataFr recommends: Large Interactive Visualization of Density Functions on Big Data Infrastructure Abstract Point set visualization is required in lots of visualization techniques. Scatter plots as well as geographic heat-maps are straightforward examples. Data analysts are now well trained to use such visualiza- tion techniques. The availability of larger and larger datasets raises the need […]
[Forbes] BigDataFr recommends: Big Data, Taylor Swift And The Future Of The Music Industry
BigDataFr recommends: Big Data, Taylor Swift And The Future Of The Music Industry It wasn’t long ago that it was a common belief that the internet was killing the music industry. For many years the industry failed to keep pace with technology – meaning consumers turned in droves to illegal downloading for the sake of […]
[Dataconomy] BigDataFr recommends: I don’t think that you should approach big data as a solution in search of a problem #datascientist
BigDataFr recommends: Data is the first class citizen Algorithms and models are just helpers – Interview with Dato’s Alice Zheng What project have you worked on do you wish you could go back to, and do better? I think that pretty much applies to any project you do as a data scientist. When you’re developing […]
[Datasciencecentral] BigDataFr recommends: Predicting the Future #datascientist
BigDataFr recommends: Predicting the Future TOne of the really fun aspects of being a data scientist is that we are called upon to predict the future. Frequently that means trying to predict who will buy, who will churn, what they will buy next, how much they will spend, all the sorts of questions that are […]
[arXiv] BigDataFr recommends: Privacy by design in big data: An overview of privacy enhancing technologies #datascientist
BigDataFr recommends: Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics The extensive collection and processing of personal information in big data analytics has given rise to serious privacy concerns, related to wide scale electronic surveillance, profiling, and disclosure of private data. To reap the […]
[Datasciencecentral] BigDataFr recommends: The Internet of Things is Really Only About One Thing
BigDataFr recommends: The Internet of Things is Really Only About One Thing The Internet of Things is really all about data. […]Big data is all about data, while the Internet of things involves data, devices, and connectivity, but in the end, they tend to come down to the same thing. And while many companies are […]
[CIO] BigDataFr recommends: Cybersecurity dream-come-true or pipe dream? #machinelearning
BigDataFr recommends: Machine learning: Cybersecurity dream-come-true or pipe dream? A Want to know which of your workers aren’t working much, which ones are planning to leave soon and/or might also be planning to steal some proprietary data on the way out the door? Machine learning can help you spot it much more quickly than your […]
[Decideo] BigDataFr recommande : A quoi ressemblera le big data en 2016 ?
BigDataFr recommande: A quoi ressemblera le Big Data en 2016 ? […] L’informatique d’entreprise vit actuellement son plus grand bouleversement depuis des décennies. Cette révolution s’effectue via la façon dont elles stockent, analysent et traitent les données ainsi via l’apparition de nouveaux systèmes de convergence et d’analyse des informations. Tous les secteurs d’activité sont concernés […]
[O’R] BigDataFr recommends: Beyond the Venn diagram #datascientist
BigDataFr recommends: Beyond the Venn diagram Identifying the essential skills for data scientists. If you work at a company where the core asset is data, then you know how hard it is to hire data scientists. Indeed, we’ve heard for years about a shortage of data scientists. The last few years have seen a proliferation […]