[arXiv] BigDataFr recommends: Big Data and Business Intelligence: Debunking the Myths

BigDataFr recommends: Big Data and Business Intelligence: Debunking the Myths Big data is one of the most discussed, and possibly least understood, terms in use in business today. Big data is said to offer not only unprecedented levels of business intelligence concerning the habits of consumers and rivals, but also to herald a revolution in […]

[BIGDATANEWS] BigDataFr recommends: Global Market Scenario for Big Data

BigDataFr recommends: Global Market Scenario for Big Data The term Big Data refers to the burgeoning amount of data seated in enormous databases, of sizes well beyond the ability of normal databases to store, retrieve, analyze, and manage. The definition, however, is rather quite subjective and involves another definition of how big a database needs […]

[HAL] BigDataFr recommends: Hierarchical Label Partitioning for Large Scale Classification

BigDataFr recommends: Hierarchical Label Partitioning for Large Scale Classification Abstract Extreme classification task where the number of classes is very large has received important focus over the last decade. Usual efficient multi-class classification approaches have not been designed to deal with such large number of classes. A particular issue in the context of large scale […]

[Libération] BigDataFr recommande : Santé connectée, vers un médecin virtuel

BigDataFr recommande : Santé connectée, vers un médecin virtuel Comme toute révolution, la santé connectée et la télémédecine portent leur lot d’espoirs et de craintes. Big Data, quantified-self, intelligence artificielle… Autant d’avancées technologiques qui font redouter une médecine déshumanisée. Il faut entendre ces inquiétudes, y répondre en toute transparence : la télémédecine est et restera […]

[Datadive] BigDataFr recommends: 7 tools in every data scientist’s toolbox #datascientist #machinelearning

BigDataFr recommends: 7 tools in every data scientist’s toolbox Excerpt There is huge number of machine learning methods, statistical tools and data mining techniques available for a given data related task, from self organizing maps to Q-learning, from steaming graph algorithms to gradient boosted trees. Many of these methods, while powerful in specific domains and […]

[analyticsvidhya] BigDataFr recommends: Exclusive Interview with SRK, Sr. Data Scientist, Kaggle Rank 25 #datascientist

BigDataFr recommends: Exclusive Interview with SRK, Sr. Data Scientist, Kaggle Rank 25 Excerpt […] Mr. Sudalai Rajkumar a.k.a SRK, Sr. Data Scientist, Tiger Analytics has become a huge inspiration for aspiring data scientist around the world. I’ve seen lots of people, driven by the spark of becoming a data scientist, but tend to develop disinterest […]

[Rue89] BigDataFr recommande : La revanche du big data – Harvard plus forte que Google pour prédire la grippe

BigDataFr recommande : La revanche du big data – Harvard plus forte que Google pour prédire la grippe Des chercheurs de la prestigieuse université américaine ont conçu un modèle statistique deux fois plus efficace que la méthode Google. Le géant de l’Internet avait fermé cet été son projet, dont les prédictions avaient tourné au flop. […]

[analyticsvidhya] BigDataFr recommends: 13 Tips to make you awesome in Data Science / Analytics Jobs

BigDataFr recommends: 13 Tips to make you awesome in Data Science / Analytics Jobs Excerpt […] However, the miserable part was, less than 30% of the data science projects actually got implemented to their potential. I got shattered realizing that my efforts got wasted. But, I wasn’t the only one. Almost, every other analyst had […]