[O’R] BigDataFr recommends: Ilhab Ilyas, professor at the University of Waterloo and co-founder of Tamr #machine-learning

BigDataFR recommends: The O’Reilly Data Show Podcast- Ilhab Ilyas, professor at the University of Waterloo and co-founder of Tamr Why data preparation frameworks rely on human-in-the-loop systems Ihab Ilyas on building data wrangling and data enrichment tools in academia and industry « As I’ve written in previous posts, data preparation and data enrichment are exciting areas for […]

[TNW News] BigDataFr recommends: How to hire data scientists #datascientist

BigDataFr recommends: How to hire data scientists ‘Data scientists aren’t a nice-to-have anymore, they’re a must-have, and businesses of all sizes are scooping up this new breed of engineering professional. Companies like Apple, BirchBox, GE, Facebook, YellowPages, Bank of America and a swath of startups all have data scientists on their payroll. Even the White […]

[L’Usine Digitale] BigDataFr recommande : Axa finance une chaire big data à Polytechnique pour mieux recruter #datascientist

BigDataFr recommande : Axa finance une chaire big data à Polytechnique pour mieux recruter « Axa veut devenir d’ici 3 ans l’un des leaders mondiaux de l’assurance avec le big data. Pour se constituer l’armée de data scientists dont elle a besoin pour développer les algorithmes capables de traiter rapidement des centaines de milliers de giga-octets […]

[Crunch Network] BigDataFr recommends: The Future Of Algorithmic Personalization #datascientist #machine-learning

BigDataFr recommends: The Future Of Algorithmic Personalization ‘Personalization algorithms influence what you’ve chosen yesterday, what you choose today and what you’ll be choosing tomorrow. Simultaneously, there seems to be something wrong with personalization. We are continuously bumping into obtrusive, uninteresting ads. Our digital personal assistant isn’t all that personal. We’ve lost friends to the algorithmic […]

[IBM] BigDataFr recommends: Developing the big data and analytics maturity model #datascientist

BigDataFr recommends: Developing the big data and analytics maturity model ‘A recent posting introduced and described the big data and analytics maturity model. The model provides a framework for a coherent approach to big data and analytics across an enterprise, one that is business-driven and able to adapt to evolving business objectives. The model has […]

[Sethbling] BigDataFr recommends: MarI/O – Machine Learning for Video Games #machine-learning

BigDataFr recommends: MarI/O – Machine Learning for Video Games MarI/O is a program made of neural networks and genetic algorithms that kicks butt at Super Mario World. YouTube:  youtube.com/sethbling Twitter:  @SethBling Facebook: facebook.com/sethbling http://sethbling.com/ Source Code: http://pastebin.com/ZZmSNaHX [MIT Press Journal] BigDataFr recommends: Evolving Neural Networks through Augmenting Topologies Abstract An important question in neuroevolution is how to […]

[BFMTV] BigDataFr recommande : Gérer les risques de façon plus fine grâce au big data

BigDataFr recommande : Gérer les risques de façon plus fine grâce au big data « L’expansion de la numérisation des processus et des services permet aux entreprises de collecter et de générer de plus en plus de données. Outre le développement de leurs activités, cette masse d’information peut être exploitée pour améliorer la gestion de leurs […]

[Forbes] BighDataFr recommends: Spark Or Hadoop – Which Is The Best Big Data Framework? #datascientist #hadoop #apache spark #machine-learning

BigDataFr recommends: Spark Or Hadoop – Which Is The Best Big Data Framework? One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are not directly comparable […]

[JDN] BigDataFr recommande : Big Data, la 3eme phase #hadoop

BigDataFr recommande : Big Data, la 3eme phase « Avant Internet, c’est-à-dire pendant les années 70 et 80, les passionnés d’informatique et les chercheurs qui devaient déplacer des fichiers utilisaient le sneaker-net  ou « réseau-basket »[1] Avec l’avènement du Big Data, ce réseau fait son grand retour. un nombre croissant d’entreprises parmi les plus importantes et […]

[airbnb] BigDataFr recommends: Aerosolve: Machine learning for humans #machine-learning

BigDataFr recommends: Aerosolve: Machine learning for humans « Have you ever wondered how Airbnb’s price tips for hosts works? In this dynamic pricing feature, we show hosts the probability of getting a booking (green for a higher chance, red for a lower chance), or predicted demand, and allow them to easily price their listings dynamically with […]