BigDataFr recommends: BIG Data & Analytics, Data Science, Machine Learning – Random Insights! #1: What really is BIG Data? Today, we can store and process so much data that we have nearly captured reality; no more sampling biases/ errors or related issues – this is my definition of Big Data; not tera or peta bytes! […]
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[L’OBS] BigDataFr recommande : Informatique : embauche garantie
BigDataFr recommande: Informatique : embauche garantie A 23 ans, Jade Copet occupe déjà un job en or. Attirée par le design industriel, elle voulait « pouvoir créer quelque chose ». Le secteur offrant peu d’emplois, elle a bifurqué vers l’informatique. « J’ai découvert que ce domaine fournissait lui aussi la possibilité d’exprimer sa créativité, d’inventer un produit, avec […]
[L’Usine Digitale] Comment rater son projet big data en 10 leçons
BigDataFr recommande: Comment rater son projet big data en 10 leçons […] Pour la plupart des dirigeants et managers de PME, le « big data » et la « data science » en particulier relèvent de la magie. Pour pratiquer ses rites, il faut trouver des magiciens compétents en mathématique, informatique, visualisation, métier … Cette croyance génère deux biais […]
[Dataconomy] BigDataFr recommends: Understanding Dimensionality Reduction and its Applications
BigDataFr recommends: Understanding Dimensionality Reduction and its Applications Dimensionality reduction as means of feature extraction Feature extraction is a very broad and essential area of data science. It’s goal is to take out salient and informative features from input data, so that they can be used further in predictive algorithms. Modern data scientists observe large […]
[analyticsvidhya – Tutorial] BigDataFr recommends: A Complete Tutorial on Ridge and Lasso Regression in Python #machinelearning
BigDataFr recommends: A Complete Tutorial on Ridge and Lasso Regression in Python When we talk about Regression, we often end up discussing Linear and Logistics Regression. But, that’s not the end. Do you know there are 7 types of Regressions ? Linear and logistic regression is just the most loved members from the family of […]
[IBM] BigDataFr recommends: Top Internet of Things trends for 2016
BigDataFr recommends: How Big Data Is Quietly Fighting Diseases and Illnesses 2015 proved to be a year of tremendous growth for the Internet of Things (IoT), and we saw many IoT opportunities become reality in 2015. Because businesses are realizing that IoT capabilities are a must, I expect 2016 to be the year the IoT […]
[HAL] BigDataFr recommends: Chasing data in the Intermediation Era: Economy and Security at stakes
BigDataFr recommande: Chasing data in the Intermediation Era: Economy and Security at stakes […] Intermediation is the action to match two types of actors (users, clients, services, etc.) in a world with incomplete information, where the matching would have been difficult without intermediaries. We show the increasing role of on-line intermediation platforms in the economy, […]
[arXiv] BigDataFr recommends: Streaming Big Data meets Backpressure in Distributed Network Computation
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 […]
[Fyte] BigDataFr recommande : Comment le big data rebat les cartes du marché de l’emploi
BigDataFr recommande: Comment le big data rebat les cartes du marché de l’emploi […] Alimenté par l’utilisation massive des réseaux sociaux, le boom des objets connectés, l’adoption du quantified self et la transformation digitale des entreprises, le marché du Big Data ne cesse de croître. Les millions d’informations générées au quotidien doivent absolument être exploitées […]
[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 […]