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 […]
Technologies
[Salon @bigdataparis les 12 & 13 mars 2018] L’événement leader du Big Data en France – Réservez votre place ! #machinelearning #IntelligenceArtificielle
[A vos agendas] Salon Big Data Paris 2018, l’événement leader du Big Data en France Je réserve mon badge dès maintenant Nouveau ! Téléchargez votre Guide du Big Data 2018 ! Sujets marquants et vision prospective du Big Data : l’outil indispensable des acteurs de la Data Economy Téléchargez votre Guide du Big Data 2018 […]
[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 […]
[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 […]
[arXiv] BigDataFr recommends: A Big Data Analysis Framework Using Apache Spark and Deep Learning
BigDataFr recommends: A Big Data Analysis Framework Using Apache Spark and Deep Learning […] Subjects: Databases (cs.DB); Learning (cs.LG); Machine Learning (stat.ML) With the spreading prevalence of Big Data, many advances have recently been made in this field. Frameworks such as Apache Hadoop and Apache Spark have gained a lot of traction over the past […]
[Datasciencecentral] BigDataFr recommends: High Precision Computing: Benchmark, Examples, and Tutorial
BigDataFr recommends: High Precision Computing: Benchmark, Examples, and Tutorial […] In some applications, using the standard precision in your programming language of choice, may not be enough, and can lead to disastrous errors. In some cases, you work with a library that is supposed to provide very high precision, when in fact the library in […]