[EducPros] BigDataFr recommends: Data Modeling for Better Online Education

BigDataFr recommends: Data Modeling for Better Online Education […] The Learning Lab at the French Institute for Computer Science and Applied Mathematics (Inria) pioneered the development of MOOCs in France. Today, the lab’s research teams in Grenoble and Sophia Antipolis share innovative teaching methods developed through technology watch and prototype design. A trailblazer in French […]

[Datasciencecentral] BigDataFr recommends: How can actuarial science skills be applied in investment banking?

BigDataFr recommends: How can actuarial science skills be applied in investment banking? […] To understand how skills in actuarial science can be applied to investment banking we need to understand what actuarial science deals with. So what is actuarial science? Actuarial science can be defined as the application of mathematical skills to social science to solve […]

[arXiv] BigDataFr recommends: Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads

BigDataFr recommends: Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Performance (cs.PF) […] Though the big data benchmark suites like BigDataBench and CloudSuite have been used in architecture and system researches, we have not yet answered the fundamental issue– what are abstractions of frequently-appearing units of […]

[arXiv] BigDataFr recommends: Big Data Visualization Tools

BigDataFr recommends: Big Data Visualization Tools […] Subjects: Databases (cs.DB); Graphics (cs.GR); Human-Computer Interaction (cs.HC) Data visualization is the presentation of data in a pictorial or graphical format, and a data visualization tool is the software that generates this presentation. 1. Synonym Data visualization provides users with intuitive means to interactively explore and analyze data, […]

[HAL] BigDataFr recommande : La visualisation d’information à l’ère du Big Data : résoudre les problèmes de scalabilité par l’abstraction multi-échelle

BigDataFr recommande : La visualisation d’information à l’ère du Big Data : résoudre les problèmes de scalabilité par l’abstraction multi-échelle Résumé […] L’augmentation de la quantité de données à visualiser due au phénomène du Big Data entraîne de nouveaux défis pour le domaine de la visualisation d’information. D’une part, la quantité d’information à représenter dépasse […]

[Datasciencecentral] BigDataFr recommends: A Simple Introduction to Complex Stochastic Processes

BigDataFr recommends: Introduction to Market Mix Modeling […] Stochastic processes have many applications, including in finance and physics. It is an interesting model to represent many phenomena. Unfortunately the theory behind it is very difficult, making it accessible to a few ‘elite’ data scientists, and not popular in business contexts. One of the most simple […]

[arXiv] BigDataFr recommends: Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages

BigDataFr recommends: Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages […] Subjects: Methodology (stat.ME) Due to the escalating growth of big data sets in recent years, new parallel computing methods have been developed for large scale Bayesian analysis. These methods partition large data sets by observations into subsets, […]

[arXiv] BigDataFr recommends: Deep Learning for IoT Big Data and Streaming Analytics: A Survey

BigDataFr recommends: Deep Learning for IoT Big Data and Streaming Analytics: A Survey […] Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Databases (cs.DB); Networking and Internet Architecture (cs.NI) In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of […]

[Datasciencecentral] BigDataFr recommends: Data Scientists – Are You Prepared For Your Next Interview?

BigDataFr recommends: Data Scientists – Are You Prepared For Your Next Interview? […] You’ve perfected your CV, got great experience under your belt, maybe a PhD and can wrangle data amongst the finest but just how prepared are you for your next interview? Just the thought of the face-to-face interview stage is enough to strike […]

[Datasciencecentral] BigDataFr recommends: Some Deep Learning with Python, TensorFlow and Keras

BigDataFr recommends: Some Deep Learning with Python, TensorFlow and Keras […] The following problems are taken from a few assignments from the coursera courses Introduction to Deep Learning (by Higher School of Economics) and Neural Networks and Deep Learning (by Prof Andrew Ng, deeplearning.ai). The problem descriptions are taken straightaway from the assignments. 1. Linear […]