BigDataFr recommends: Scalable and Accurate Online Feature Selection for Big Data Feature selection is important in many big data applications. There are at least two critical challenges. Firstly, in many applications, the dimensionality is extremely high, in millions, and keeps growing. Secondly, feature selection has to be highly scalable, preferably in an online manner such […]
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[Forbes] BigDataFr recommends: 6 Predictions For Big Data Analytics And Cognitive Computing In 2016
BigDataFr recommends: 6 Predictions For Big Data Analytics And Cognitive Computing In 2016 Big data analytics is the next trillion-dollar market, says Michael Dell. IDC has a more modest and specific prediction, forecasting the market for big data technology and services to grow at a 23.1% compound annual growth rate, reaching $48.6 billion in 2019. […]
[Bpifrance] BigDataFr recommande : Le Livre Blanc du Big Data
BigDataFr recommande : Le livre Blanc de Big Data Avant-Propos Pour accompagner les PME et ETI dans leur transformation digitale, Bpifrance publie Modèles, data et algorithmes : les nouvelles frontières du numérique en partenariat avec Aremus & Associés, AMIES (Agence Maths-Entreprises) et GENCI (Grand Équipement national de Calcul intensif). L’objectif de ce livre blanc : […]
[BusinessBecause – MBA Careers] BigDataFr recommends: How Big Data, People Analytics Is Re-Engineering Your Job Search
BigDataFr recommends: MBA Careers – How Big Data, People Analytics Is Re-Engineering Your Job Search Big data is causing a buzz in virtually every function but recruitment is one of the more recent to get a digital refresh. A new data driven approach to talent management is reshaping the way organizations find and hire staff, […]
[Les Echos] BigDataFr recommande : Big Brain and Big Data
BigDataFr recommande: Big Brain and Big Data […] L’engouement pour le cerveau serait-il une maladie contagieuse ? Les Européens ont englouti 1 milliard d’euros dans un projet destiné à comprendre le fonctionnement du cerveau humain et guérir les maladies neurologiques et psychiatriques… rien de moins ! Les Américains leur ont emboîté le pas, suivis de […]
[Datasciencecentral] BigDataFr recommends: Interview with Gideon Mann, Head of Data Science at Bloomberg #datascientist
BigDataFr recommends: Interview with Gideon Mann, Head of Data Science at Bloomberg Interview with Gideon Mann, Head of Data Science at Bloomberg, where he guides the strategic direction for machine learning, natural language processing, and search on the core terminal. He joined Bloomberg from Google Research. At Google, in addition to academic research, his team […]
[JDN – Innovation] BigDataFr recommande : Big Data et Internet des Objets au secours du dérèglement climatique #innovation
BigDataFr recommande: Big Data et Internet des Objets au secours du dérèglement climatique A l’heure où les représentants de plus de 190 pays du globe se réunissent à Paris pour sceller un accord global sur la réduction des gaz à effet de serre, les conséquences du réchauffement climatique ne font plus de doute. L’urgence est […]
[CIO] BigDataFr recommends: Lack of big data talent hampers corporate analytics
BigDataFr recommends: Lack of big data talent hampers corporate analytics A shallow talent pool of skilled workers to analyze big data, combined with the challenge of weeding out bad information, continues to cause nightmares for CIOs. Two-thirds of companies that possess even the most advanced analytics capabilities cannot hire enough people who can generate insights […]
[DATACONOMY – Tips] BigDataFr recommends: 4 steps to help kickstart your data cleaning project
BigDataFr recommends: “4 steps to help kickstart your data cleaning project Are you considering carrying out or outsourcing a data cleaning project? Find out how to start. Data quality problems At present companies face the challenge of maintaining ever growing collections of data about their customers. This data is often incorrect (e.g. contains duplicate entries), […]
[HAL] BigDataFr recommande : Contributions à l’exploration de données environnementales, écologiques, médicales et archéologiques
BigDataFr recommande: Contributions à l’exploration de données environnementales, écologiques, médicales et archéologiques Abstract Mon activité de recherche s’articule autour de l’exploration de données. L’exploration de données nécessite de réelles collaborations pluridisciplinaires qui ne prennent sens qu’en s’inscrivant dans la durée. C’est seulement à cette condition que le statisticien peut, après s’être imprégné de l’autre discipline, […]