BigDataFr recommends: Streaming Big Data meets Backpressure in Distributed Network Computation […] We study network response to queries that require computation of remotely located data and seek to characterize the performance limits in terms of maximum sustainable query rate that can be satisfied. The available resources include (i) a communication network graph with links over […]
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[analyticsvidhya – Tutorial] BigDataFr recommends: A Complete Tutorial to Learn Data Science with Python from Scratch #machinelearning
BigDataFr recommends: A Complete Tutorial to Learn Data Science with Python from Scratch Introduction […] Python was originally a general purpose language. But, over the years, with strong community support, this language got dedicated library for data analysis and predictive modeling. Due to lack of resource on python for data science, I decided to create […]
[Challenges] BigDataFr recommande : Pourquoi le Data Scientist est devenu indispensable pour l’entreprise #datascientist
BigDataFr recommande: Pourquoi le Data Scientist est devenu indispensable pour l’entreprise Data Scientist est un mot un peu obscur pour désigner un expert des données dans une entreprise. Rien de plus normal, donc, que ce métier se retrouve sur le devant de la scène à l’heure où le Big Data se développe fortement dans les […]
[HAL] BigDataFr recommande : Valeur et Véracité de la donnée : enjeux pour l’entreprise et défis pour le Data Scientist
BigDataFr recommande : Valeur et Véracité de la donnée : enjeux pour l’entreprise et défis pour le Data Scientist. Résumé […]Les mégadonnées ou big data ont investi l’ensemble des activités industrielles, économiques et sociales. Leurs exploitations modifient en profondeur notre rapport au monde et fournissent des clés fondamentales qui permettent de repousser l’incertitude, de comprendre […]
[Datasciencecentral] BigDataFr recommends: All About Data Science And Big Data #datascientist
BigDataFr recommends: All About Data Science And Big Data Data Science is the system used to extract insights from data that’s mined from various sources. Using various techniques including predictive modeling, Data Science helps to analyze and interpret vast amounts of data. The people who apply Data Science to manage large amounts of data are […]
[Dataconomy – View] BigDataFr recommends: How will data science change in 2016
BigDataFr recommends: How will data science change in 2016? 2015 was a good year for data science. A cursory glance at any tech jobs board reveals the sheer breadth of companies looking for data science expertise. Technical terms such as machine learning are slowly entering the public consciousness. Many people still don’t realise how much […]
[Quora – Tips] BigDataFr recommends: What are 20 questions to detect fake data scientists?
BigDataFr recommends: What are 20 questions to detect fake data scientists? Identifying the essential skills for data scientists. I’ll stay away from code examples myself as they seem rather shop-specific and thus best designed locally, but if you want some questions, here you go. These questions are intentionally difficult and are more on the statistics/modeling […]
[analyticsvidhya – Tutorial] BigDataFr recommends: A Comprehensive guide to Data Exploration #machinelearning
BigDataFr recommends: A Comprehensive guide to Data Exploration Introduction There are no shortcuts for data exploration. If you are in a state of mind, that machine learning can sail you away from every data storm, trust me, it won’t. After some point of time, you’ll realize that you are struggling at improving model’s accuracy. In […]
[O’R] BigDataFr recommends: How to think like a data scientist #datascientist
BigDataFr recommends: How to think like a data scientist Identifying the essential skills for data scientists. Data science is about finding signals buried in the noise. It’s tough to do, but there is a certain way of thinking about it that I’ve found useful. Essentially, it comes down to finding practical methods of induction, where […]
[Sciences et Avenir] BigDataFr recommande : Les Big data vont révolutionner nos vies, notre travail et notre pensée
BigDataFr recommande: Les Big data vont révolutionner nos vies, notre travail et notre pensée Le professeur Viktor Mayer-Schönberger alerte sur la « mise en données du monde » favorisée par l’accumulation de « data ». Sciences et Avenir : Dans votre ouvrage, vous citez le chiffre de 1, 7 milliard par jour d’emails, appels téléphoniques, et autres communications (Skype, […]