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, […]
Technologies
[ZDNet] BigDataFr recommande : RGPD : l’opportunité de lutter contre le shadow IT
BigDataFr recommande : RGPD : l’opportunité de lutter contre le shadow IT Et si le RGPD était ce qui était arrivé de mieux au DSI depuis longtemps ? Alors que les chantiers réglementaires sont habituellement vécus comme une contrainte, celui-ci pourrait remettre en selle le patron de l’informatique, concurrencé sur le terrain de la transformation […]
[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 […]
[La Tribune] BigDataFr recommande : Sanofi explore les atouts du numérique et va investir à Ambarès
BigDataFr recommande : Sanofi explore les atouts du numérique et va investir à Ambarès […] Aujourd’hui directeur général France de Sanofi, Guillaume Leroy prendra la présidence ce dimanche. Cet ancien pharmacien de Rouen a longtemps travaillé à l’international pour le compte du groupe pharmaceutique français : de 1993 à 1995 au Brésil pour y lancer […]
[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 […]
[Le Point] BigDataFr recommande : L’Europe, nain de l’intelligence artificielle
BigDataFr recommande : L’Europe, nain de l’intelligence artificielle La décision de taxer ou non les géants du Net ne sera connue que le 29 septembre, à l’occasion du sommet numérique de Tallinn, en Estonie. On verra ce jour-là si les 28 pays de l’Union européenne suivent le souhait déjà annoncé par le ministre français de […]
[Machinelearnings .co] BigDataFr recommends: Why AI Companies Can’t Be Lean Startups
BigDataFr recommends: Why AI Companies Can’t Be Lean Startups […] Today it’s impossible to read business news without seeing some mention of artificial intelligence. Recent breakthroughs in machine learning and AI have unleashed a host of new experiences that can be delivered to customers, and companies both large and small look to capitalize. Large companies […]
[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 […]