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[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, […]
[LMI – le Monde Informatique] BigDataFr recommande : 2018 sera l’année du deep learning et de la data gouvernance
BigDataFr recommande : 2018 sera l’année du deep learning et de la data gouvernance […] Jusqu’ici, l’implication du hardware dans le deep learning s’est limitée aux serveurs cloud, pour la formation comme pour l’exécution des tâches. Désormais, le système tend à s’adapter davantage au deep learning, en raison des enjeux que celui-ci représente. Cette évolution […]
[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 […]
[LMI – le Monde Informatique] BigDataFr recommande : Discover 2017 : HPE GreenLake, un paiement à l’usage sur site
BigDataFr recommande : Discover 2017 : HPE GreenLake, un paiement à l’usage sur site […] Meg Whitman est sur le départ. Dans deux mois, la CEO de Hewlett Packard Enterprise passera le témoin à Antonio Neri. Mais d’ici là, il lui est encore revenu d’ouvrir la conférence plénière de Discover 2017 à Madrid et d’y […]
[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 […]