BigDataFr recommends: This Is How You Build Products for the New Generation of ‘Data Natives’ ‘Imagine a major intersection where all the innovation taking place in data analytics and all the advances in hardware meet. It would look a lot like Monica Rogati’s job at Jawbone. As VP of Data, she built a world-class team […]
Innovation
[HAL] BigDataFr recommends: Compression-based nonnegative tensor CP decomposition of hyperspectral big data
BigDataFr recommends: Compression-based nonnegative tensor CP decomposition of hyperspectral big data […]’New hyperspectral missions will collect huge amounts of hyperspectral data. Besides, it is possible now to acquire time series and multiangular hyperspectral images. The process and analysis of these big data collections will require common hyperspectral techniques to be adapted or reformulated. The tensor decomposition, […]
[arXiv] BigDataFr recommends: Deep Broad Learning – Big Models for Big Data
BigDataFr recommends: Deep Broad Learning – Big Models for Big Data ‘Deep learning has demonstrated the power of detailed modeling of complex high-order (multivariate) interactions in data. For some learning tasks there is power in learning models that are not only Deep but also Broad. […] The most accurate models will integrate all that information. […]
[HAL] BigDataFr recommends: HaoLap – a Hadoop based OLAP system for big data #datascientist
BigDataFr recommends: HaoLap – a Hadoop based OLAP system for big data Abstract ‘In recent years, facing information explosion, industry and academia have adopted distributed file system and MapReduce programming model to address new challenges the big data has brought. Based on these technologies, this paper presents HaoLap (Hadoop based oLap), an OLAP (OnLine Analytical […]
[LeMagIT] BigDataFr recommande : Spark contre MapReduce – quelle solution pour les entreprises
BigDataFr recommande : Spark contre MapReduce – quelle solution pour les entreprises « Out MapReduce. La percée fut belle, mais les développeurs Big Data actuels ont faim de simplicité et de rapidité. Et quand il s’agit de choisir un framework pour exécuter des tâches dans un environnement Hadoop, ils sont de plus en plus nombreux à […]
[O’R] BigDataFr recommends: The O’Reilly Data Show Podcast-Alice Zheng Strata + Hadoop #machine learning
BigDataFr recommends: The O’Reilly Data Show Podcast-Alice Zheng Strata + Hadoop Bridging the divide – Business users and machine learning experts […] ‘As tools for advanced analytics become more accessible, data scientist’s roles will evolve. Most media stories emphasize a need for expertise in algorithms and quantitative techniques (machine learning, statistics, probability), and yet the […]
[Opennews] BigDataFr recommends: what we’ve learned about sharing our data analysis
BigDataFr recommends: what we’ve learned about sharing our data analysis Publishing reproducible data that’s genuinely useful […]’Last Friday morning, Jessica Garrison, Ken Bensinger, and I published a BuzzFeed News investigation highlighting the ease with which American employers have exploited and abused a particular type of foreign worker—those on seasonal H–2 visas. The article drew on […]
[JDN] BigDataFr recommande : Big data et algorithmes, l’enjeu caché du COP21
BigDataFr recommande : Big data et algorithmes, l’enjeu caché du COP21 « La COP 21 s’ouvre sur fond de révolution dans le domaine de l’énergie, avec l’émergence d’une transformation en profondeur des réseaux de production et de consommation électriques. Ces derniers se décentralisent, laissant apparaître les premiers réseaux intelligents. L’autre source d’innovation majeure se trouve dans […]
[Visionary Marketing – Video] BigDataFr recommande: Les data scientists avec thomas gerbaud de Mantiq #datascientist
BigDataFr recommande: Les data scientists avec Thomas gerbaud de Mantiq Extrait de la vidéo : « Pour moi […], un data scientist c’est quelqu’un qui va récupérer des données, quel que soit le format, quelle que soit la taille, et va appliquer des outils efficaces pour en tirer quelque chose. En gros, il va devoir, à […]
[Analyticsvidhya] BigDataFr recommends: Essentials of Machine Learning Algorithms #datascientist #machine learning
BigDataFr recommends: Essentials of Machine Learning Algorithms (with Python and R Codes) ‘We are probably living in the most defining period of human history. The period when computing moved from large mainframes to PCs to cloud. But what makes it defining is not what has happened, but what is coming our way in years to […]