[Le Parisien Etudiant] BigDataFr recommande : Travailler dans la Big Data : les 6 métiers recherchés vers lesquels s’orienter

BigDataFr recommande : Travailler dans la Big Data : les 6 métiers recherchés vers lesquels s’orienter. Stockage, manipulation et analyse de données en masse… pour tous ceux qui souhaitent s’orienter vers le Big Data, voici la présentation du phénomène et technologie derrière ce terme et les différents métiers (techniques et marketing) qui sont recherchés autour […]

[Dataconomy] BigDataFr recommends: The Future of Artificial Intelligence in Education

BigDataFr recommends: The Future of Artificial Intelligence in Education […]Artificial Intelligence has the potential to greatly improve and change education systems across the world. There is a strong possibility for artificial intelligence to be used to help teachers effectively streamline their instruction process and to help students receive much more personalized help that is specifically […]

[The Conversation] BigDataFr recommande : La génomique, reine du big data

BigDataFr recommande : La génomique, reine du big data […] Depuis la fin des années 1990 et le projet génome humain, les technologies de séquençage de l’ADN connaissent une véritable révolution qui fait aujourd’hui entrer la génomique dans l’ère du big data. Depuis une quinzaine d’années, le volume des données générées dans le domaine de […]

[arXiv] BigDataFr recommends: Improving Viability of Electric Taxis by Taxi Service Strategy Optimization

BigDataFr recommends: Improving Viability of Electric Taxis by Taxi Service Strategy Optimization: A Big Data Analysis of New York City […] Subjects: Computers and Society (cs.CY) Electrification of transportation is critical for a low-carbon society. In particular, public vehicles (e.g., taxis) provide a crucial opportunity for electrification. Despite the benefits of eco-friendliness and energy efficiency, […]

[HAL] BigDataFr recommends: HeatPipe: High Throughput, Low Latency Big Data Heatmap with Spark Streaming

BigDataFr recommends: HeatPipe: High Throughput, Low Latency Big Data Heatmap with Spark Streaming Abstract […] Heatmap visualization is a well-known type of visual-ization to alleviate the overplot problem of point visualiza-tion. As such, it is well suited to visualize Big Data. In order to tackle the velocity problem of Big Data, one has to leverage […]

[Datasciencecentral] BigDataFr recommends: Representation of Numbers with Incredibly Fast Converging Fractions

BigDataFr recommends: Representation of Numbers with Incredibly Fast Converging Fractions […] Here we discuss a new system to represent numbers, for instance constants such as Pi, e, or log 2, using rational fractions. Each iteration doubles the precision (the number of correct decimals computed) making it converging much faster than current systems such as continued […]

[arXiv] BigDataFr recommends: Amplifying Inter-message Distance: On Information Divergence Measures in Big Data

BigDataFr recommends: Amplifying Inter-message Distance: On Information Divergence Measures in Big Data […] Subjects: Information Theory (cs.IT) Message identification (M-I) divergence is an important measure of the information distance between probability distributions, similar to Kullback-Leibler (K-L) and Renyi divergence. In fact, M-I divergence with a variable parameter can make an effect on characterization of distinction […]

[HAL] BigDataFr recommends: Random Forests for Big Data

BigDataFr recommends: Random Forests for Big Data Abstract […] Big Data is one of the major challenges of statistical science and has numerous consequences from algorithmic and theoretical viewpoints. Big Data always involve massive data but they also often include online data and data heterogeneity. Recently some statistical methods have been adapted to process Big […]

[Dataconomy] BigDataFr recommends: Securing Competitive Advantage with Machine Learning

BigDataFr recommends: Securing Competitive Advantage with Machine Learning […] Business dynamics are evolving with every passing second. There is no doubt that the competition in today’s business world is much more intense than it was a decade ago. Companies are fighting to hold on to any advantages. Digitalization and the introduction of machine learning into […]

[Forbes France] BigDataFr recommande : Pourquoi Le Commerce “Physique” Pourrait Reprendre La Main

BigDataFr recommande : Pourquoi Le Commerce “Physique” Pourrait Reprendre La Main […] La révolution du web a clairement entraîné de profonds changements chez les acheteurs et de facto chez ceux qui sont donc devenus des e-commerçants. Toutefois, suite à la frénésie du tout digital des premières années, la donne est en train de changer vers […]