[L’AGEFI] BigDataFr recommande : Les robots transforment la banque en France #fintech #ibm

BigDataFr recommande: Les robots transforment la banque en France […] Cette fois, ça y est : les robots débarquent dans les banques françaises. Pour conquérir 2 millions de clients en France, Orange Bank a annoncé hier qu’elle allait s’appuyer sur le système Watson du groupe américain IBM. Watson, c’est une solution d’intelligence artificielle qui analyse […]

[Keen IO] BigDataFr recommends: Architecture of Giants: Data Stacks at Facebook, Netflix, Airbnb, and Pinterest

BigDataFr recommends: Architecture of Giants: Data Stacks at Facebook, Netflix, Airbnb, and Pinterest […] Here at Keen IO, we believe that companies who learn to wield event data will have a competitive advantage. That certainly seems to be the case at the world’s leading tech companies. We continue to be amazed by the data engineering […]

[Backchannel] BigDataFr recommends: Alien Knowledge : When Machine Justify Knowledge

BigDataFr recommends: Alien Knowledge : When Machine Justify Knowledge […] The new availability of huge amounts of data, along with the statistical tools to crunch these numbers, offers a whole new way of understanding the world. Correlation supersedes causation, and science can advance even without coherent models, unified theories, or really any mechanistic explanation at […]

[SAS] BigDataFr recommends: Which machine learning algorithm should I use?

BigDataFr recommends: Which machine learning algorithm should I use? […] This resource is designed primarily for beginning data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is […]

[Le Point Afrique] BigDataFr recommande : Comment prédire une élection ?

BigDataFr recommande : Comment prédire une élection? Depuis le début de l’année, des élèves de l’école Télécom Paris Tech mènent pour le compte du Point un projet ambitieux appelé Predict the President. À 5 jours du scrutin, ils fournissent des analyses de la campagne présidentielle à travers ses données afin de fournir des prédictions sur […]

[ArXiv] BigDataFr recommends: Best Practices for Applying Deep Learning to Novel Applications

BigDataFr recommends: Best Practices for Applying Deep Learning to Novel Applications […] This report is targeted to groups who are subject matter experts in their application but deep learning novices. It contains practical advice for those interested in testing the use of deep neural networks on applications that are novel for deep learning. We suggest […]

[Usine Digitale] BigDataFr recommande : Homeloop, la start-up qui accélère l’achat immobilier grâce au big data, lève 1 million d’euros

BigDataFr recommande : Homeloop, la start-up qui accélère l’achat immobilier grâce au big data, lève 1 million d’euros […] « Combien vais-je vendre mon bien ? Et en combien de temps ? » C’est la question qui hante tous les propriétaires voulant se séparer de leur appartement. La start-up française Homeloop dit pouvoir leur apporter une réponse […]

[Analyticbridge] BigDataFr recommends: Monte Carlo Analysis and Simulation

BigDataFr recommends: Factoring Massive Numbers: Monte Carlo Analysis and Simulation […] The Monte Carlo method is an simple way to solve very difficult probabilistic problems. This text is a very simple, didactic introduction to this subject, a mixture of history, mathematics and mythology. The method has origins in the World War II, proposed by the […]

[Medium – Startup Grind] BigDataFr recommends : Fueling the Gold Rush: The Greatest Public Datasets for AI

BigDataFr recommends: Fueling the Gold Rush: The Greatest Public Datasets for AI […] It has never been easier to build AI or machine learning-based systems than it is today. The ubiquity of cutting edge open-source tools such as TensorFlow, Torch, and Spark, coupled with the availability of massive amounts of computation power through AWS, Google […]

[Intel] BigDataFr recommande: Comment la stratégie de modernisation de ses datacenters a fait économiser plus de 300 millions de dollars à Intel

BigDataFr recommande : Comment la stratégie de modernisation de ses datacenters a fait économiser plus de 300 millions de dollars à Intel Quel est le meilleur moyen de faire fonctionner 145 000 serveurs dans 60 datacenters servant 105 000 salariés ? Le service informatique d’Intel (Intel IT) travaille sur cette question depuis des années. À […]