BigDataFr recommends: Big Data Analytics Using Cloud and Crowd […]The increasing application of social and human-enabled systems in people’s daily life from one side and from the other side the fast growth of mobile and smart phones technologies have resulted in generating tremendous amount of data, also referred to as big data, and a need […]
Month: avril 2016
[Data Science Central] BigDataFr recommends: Industrialising Data Science
BigDataFr recommends: Industrialising Data Science […] If DS is to fulfil its promise, it needs to industrialise. This blog explains what I mean by this, and proposes a number of issues which must be addressed if it is to do so. The application of pattern recognition technology to large datasets has revolutionised the digital economy. […]
[arXiv] BigDataFr recommends: From Big Data To Important Information
BigDataFr recommends: From Big Data To Important Information […]Advances in science are being sought in newly available opportunities to collect massive quantities of data about complex systems. While key advances are being made in detailed mapping of systems, how to relate this data to solving many of the challenges facing humanity is unclear. The questions […]
[Data Science Central] BigDataFr recommends: Can DeepMind win ‘Jeopardy’ and Watson win ‘Go’?
BigDataFr recommends: Can DeepMind win ‘Jeopardy’ and Watson win ‘Go’? […]We are indeed living in interesting times, where we celebrate human-built machines defeating the best human minds at variety of activities. IBM Deep Blue’s win against Chess champion Gary kasparov in 1997, IBM watson acing Jeopardy in 2011 and now Google DeepMind reportedly wining ‘Go’ […]
[Data Science Central] BigDataFr recommends: Spectral Clustering – How Math is Redefining Decision Making
BigDataFr recommends: Spectral Clustering – How Math is Redefining Decision Making […] In today’s world of big data and the internet of things, it is common for a business to find itself sitting atop a mountain of data. Possessing it is one thing, but leveraging it for data driven decision making is a much different […]
[Data Science Central] BigDataFr recommends: Can A Cow be an IoT Platform?
BigDataFr recommends: Can A Cow be an IoT Platform? […]This is my favorite IoT story which I first heard from Joseph Sirosh, CVP of Machine Learning for Microsoft at the spring Strata convention in San Jose. We are so used to IoT platforms being physical objects like cars or thermostats or gaming consoles that we […]
[arXiv] BigDataFr recommends: Big Data Processing in Complex Hierarchical Network Systems
BigDataFr recommends: Big Data Processing in Complex Hierarchical Network Systems […]This article covers the problem of processing of Big Data that describe process of complex networks and network systems operation. It also introduces the notion of hierarchical network systems combination into associations and conglomerates alongside with complex networks combination into multiplexes. The analysis is provided […]
[Data Science Central] BigDataFr recommends: Citizen Data Scientist – Care, Feeding and Control
BigDataFr recommends: Citizen Data Scientist – Care, Feeding and Control […]Thanks to Gartner the term ‘Citizen Data Scientist’ has become ingrained in our professional literature, in the strategies of analytic platform developers, and even in the strategies of companies committed to advanced analytics. Gartner also recently forecast that the ranks of the Citizen Data Scientist […]