BigDataFr recommends: Future-proof and scale-proof your code Many of the students I work with in my big data classes don’t actually have big data problems; instead, they’re worried about future-proofing their code. These students are hoping that when they do have big data to process and analyze, they’ll be ready. Becoming scale-proof Future-proofing code means […]
Documentation
[Usine Digitale – API GvT] BigDataFr recommande : api.gouv.fr : le portail d’API du gouvernement, premier pas vers un Etat-plateforme
BigDataFr recommande : api.gouv.fr : le portail d’API du gouvernement, premier pas vers un Etat-plateforme […] Le portail api.gouv.fr est officiellement ouvert depuis le 21 juin 2016. Inauguré par Jean-Vincent Placé, secrétaire d’état à la modernisation de l’action publique (SGMAP), dans un des salons de l’accélérateur privé parisien The Family, ce site web a pour […]
[ISPRS – Paper] BigDataFr recommends: Nasa Web Worldwind: Multidimensional Virtual Globe For Geo Big Data Visualization
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B2, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic BigDataFr recommends: Nasa Web Worldwind: Multidimensional Virtual Globe For Geo Big Data Visualization Commission II/ThS 12- Location – based Social Media Data Key words: Virtual Globe, Data Visualization, Big geo-data, Web […]
[Dataconomy] BigDataFr recommends: Data Scientists…futureproof yourselves!
BigDataFr recommends: Data Scientists…futureproof yourselves! […]You know who you are. You’re a Data Scientist. In interview rooms across the world, fat cat executives are pushing contracts under your noses with extortionately high numbers on them. What a time to be one of a few doing backstrokes at the world’s most exclusive pool party, right!? What […]
[cms wire] BigDataFr recommends: 3 Guiding Principles for Predictive Analytics Success
BigDataFr recommends: 3 Guiding Principles for Predictive Analytics Success […]The retail industry has become intensely competitive, dotted with name brand incumbents, disruptive e-commerce challengers, boutique establishments and everything in between. Naturally, this hyper-competitive environment empowers customers to demand more choices and options than ever before, ultimately leading to downward pressure on retailer margins. […] Read […]
[analyticsvidhya] BigDataFr recommends: 11 Must Read Books This Summer on Internet of Things #IoT
BigDataFr recommends: 11 Must Read Books This Summer on Internet of Things (IoT) […] The massive upsurge in the availability of data in last few years have fueled this passion for breakthrough innovation. The idea of making human life faster and comfortable is the essence of discovering “Internet of Things”. This concept is fairly easy […]
[Datasciencecentral] BigDataFr recommends: Hitchhiker’s Guide to Data Science, Machine Learning, R, Python
BigDataFr recommends: Hitchhiker’s Guide to Data Science, Machine Learning, R, Python […] Thousands of articles and tutorials have been written about data science and machine learning. Hundreds of books, courses and conferences are available. You could spend months just figuring out what to do to get started, even to understand what data science is about. […]
[EducPros – ITV Claude Kirchner – INRIA] BigDataFr recommande : « Les big data sont une superbe opportunité de partage entre scientifiques »
BigDataFr recommande : Claude Kirchner : « Les big data sont une superbe opportunité de partage entre scientifiques » […] Jean Chabod-Serieis : Depuis quand l’Inria travaille-t-il sur les données massives, les fameux big data ? Claude Kirchner : Nous travaillons dessus depuis toujours. Le terme, inventé à la fin des années 1990, a explosé vers 2009-2010. […]
[arXiv – MSc Thesis] BigDataFr recommends: LLFR: A Lanczos-Based Latent Factor Recommender for Big Data Scenarios
BigDataFr recommends: LLFR: A Lanczos-Based Latent Factor Recommender for Big Data Scenarios Subjects: Machine Learning (stat.ML); Information Retrieval (cs.IR); Social and Information Networks (cs.SI) […]The purpose if this master’s thesis is to study and develop a new algorithmic framework for Collaborative Filtering to produce recommendations in the top-N recommendation problem. Thus, we propose Lanczos Latent […]
[Special Formation] DataScientist Now: Les Inscriptions au Label Big Data de l’UPMC se terminent !
Data Scientist Now : Les inscriptions Label Big Data de l’UPMC se terminent bientôt : n’attendez pas la dernière minute ! Le Label Big Data de l’UPMC Le Master de mathématiques et Applications de l’UPMC propose un Label Big Data à ses étudiants, inscrits à l’un des 5 parcours suivants en M2 : 1) Probabilités et Modèles […]