This article assumes acquired the skills and expertise of a statistician in unsupervised (NMF, k-means, SVD) and supervised learning (regression, CART, random forest). What skills and knowledge do a statistician must acquire to reach the "Volume" scale of big data? After a quick overview of the different strategies available and especially of those imposed by Hadoop, the algorithms of some available learning methods are outlined in order to understand how they are adapted to the strong stresses of the Map-Reduce functionalitie
Big data is ubiquitous today. The big data challenges current numeric statistical and machine learni...
The increasing automation in data collection, either in structured or unstructured formats...
International audienceThe rise of big data has led to a new paradigm in terms of knowledge productio...
This article assumes acquired the skills and expertise of a statistician in unsupervised (NMF, k-mea...
Le croisement du phénomène de mondialisation et du développement continu des technologies de l’infor...
International audienceSummary The techniques that use algorithms and statistics in association with ...
International audienceThe rapid evolution of information systems managing more and more voluminous d...
International audienceActuellement, le traitement et l'analyse des big data dans les différents sect...
Le monde des entreprises a connu par le phénomène du Big Data un bouleversement extraordinaire. Véri...
Lors de ces dernières années les volumes de données analysées par les entreprises et les laboratoire...
International audienceThis article deals with supervised statistical machine-learning as a tool fore...
Our objectives for doing this project is to gain experience on handling analyses on large batch of d...
International audienceAccording to a recent report from the European Commission, the world generates...
Abstract: Big Data has altered the adjustments in the period of information stockpiling and its exam...
Avec le Big Data, on dit que les corrélations suffisent: elles tendent à remplacer « profitablement ...
Big data is ubiquitous today. The big data challenges current numeric statistical and machine learni...
The increasing automation in data collection, either in structured or unstructured formats...
International audienceThe rise of big data has led to a new paradigm in terms of knowledge productio...
This article assumes acquired the skills and expertise of a statistician in unsupervised (NMF, k-mea...
Le croisement du phénomène de mondialisation et du développement continu des technologies de l’infor...
International audienceSummary The techniques that use algorithms and statistics in association with ...
International audienceThe rapid evolution of information systems managing more and more voluminous d...
International audienceActuellement, le traitement et l'analyse des big data dans les différents sect...
Le monde des entreprises a connu par le phénomène du Big Data un bouleversement extraordinaire. Véri...
Lors de ces dernières années les volumes de données analysées par les entreprises et les laboratoire...
International audienceThis article deals with supervised statistical machine-learning as a tool fore...
Our objectives for doing this project is to gain experience on handling analyses on large batch of d...
International audienceAccording to a recent report from the European Commission, the world generates...
Abstract: Big Data has altered the adjustments in the period of information stockpiling and its exam...
Avec le Big Data, on dit que les corrélations suffisent: elles tendent à remplacer « profitablement ...
Big data is ubiquitous today. The big data challenges current numeric statistical and machine learni...
The increasing automation in data collection, either in structured or unstructured formats...
International audienceThe rise of big data has led to a new paradigm in terms of knowledge productio...