BigDataFr recommande: Masters : ces diplômes qui valent de l’or […]L’explosion des données numériques s’impose comme un enjeu central pour les entreprises : comment gérer et analyser ces mégadonnées, venant notamment des réseaux sociaux, pour en tirer le meilleur parti ? Le Big Data devient ainsi un « véritable enjeu stratégique et économique », rappelle […]
Month: décembre 2015
[Analyticsvidhya] BigDataFr recommends: Important Job Roles in Data Science Industry Today – Who Does What ?
BigDataFr recommends: Important Job Roles in Data Science Industry Today – Who Does What ? Introduction One evening, I was catching up with a friend over a few drinks – let’s call him Jon (name changed). He seemed determined to become a data scientist and was charting out his career plan accordingly. I quizzed him […]
[Dataconomy] BigDataFr recommends: Data is the first class citizen – Algorithms and models are just helpers
BigDataFr recommends: Data is the first class citizen Algorithms and models are just helpers – Interview with Dato’s Alice Zheng What project have you worked on do you wish you could go back to, and do better? Too many! The top of the list is probably my PhD thesis. I collaborated with folks in software […]
[Informationweek – Tips] 8 Ways You’re Failing At Data Science #datascientist
BigDataFr recommends: 8 Ways You’re Failing At Data Science Data science would be easier to comprehend if there were a standard definition of it. True data science comprises several disciplines, including mathematics, statistics, machine learning, and computer science. A data science team must also understand how to curate and prepare data, analyze it, and present […]
[arXiv] BigDataFr recommends: Scalable and Accurate Online Feature Selection for Big Data
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 […]
[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 […]