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 […]
Innovation
[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 […]
[arXiv] BigDataFr recommends: Big Data Analytics in Bioinformatics – A Machine Learning Perspective #machine-learning
BigDataFr recommends: Big Data Analytics in Bioinformatics – A Machine Learning Perspective ‘Bioinformatics research is characterized by voluminous and incremental datasets and complex data analytics methods. The machine learning methods used in bioinformatics are iterative and parallel. These methods can be scaled to handle big data using the distributed and parallel computing technologies. Usually big […]
[MIT Technology Review] BigDataFr recommends: Deep Learning Machine Beats Humans in IQ Test
BigDataFr recommends: Deep Learning Machine Beats Humans in IQ Test ‘Computers have never been good at answering the type of verbal reasoning questions found in IQ tests. Now a deep learning machine unveiled in China is changing that. ‘ Read more Emerging Technology From the arXiv Source: technologyreview.com
[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 […]
[Le Point] BigDataFr recommande : Vous avez dit Qwant ?
BigDataFr recommande : Vous avez dit Qwant ? « Dans un vaste open space, au 6e étage d’un immeuble moderne de l’avenue Thiers, à Nice, de jeunes geeks, les yeux rivés sur leurs écrans. Concentrés mais décontractés, ils développent le moteur de recherche de demain. Son nom : Qwant. Le nouveau Google killer ? Plutôt une […]
[WSJ Live] BigDataFr recommends: How Computers Trawl a Sea of Data for Stock Picks #datascientist
BigDataFr recommends: How Computers Trawl a Sea of Data for Stock Picks Wall Street has been riding the Big Data bandwagon for years, but some quants on Wall Street have taken a quantum leap in how they using data to predict the markets. Bradley Hope joins MoneyBeat. How Computers Trawl a Sea of Data for […]
[Forbes] BigDataFr recommends: How Can CMOs Make Sense of Big Data?
BigDataFr recommends: How Can CMOs Make Sense of Big Data? ‘As with so many other areas of the modern economy, marketing has been revolutionized in the past few years by the growth of data analytics. Marketing teams and chief marketing officers (CMOs) are using big data for search engine optimization (SEO), e-mail marketing, customer segmentation, […]
[MIT Digital Programs] BigDataFr recommends: Tackling the Challenges of Big Data #datascientist #machine learning #hadoop
recommends: MIT’s Digital Program -Tackling the Challenges of Big Data’ New Session! Tackling the Challenges of Big Data, running July 7 – August 18 « This Digital Programs course will survey state-of-the-art topics in Big Data, looking at data collection (smartphones, sensors, the Web), data storage and processing (scalable relational databases, Hadoop, Spark, etc.), extracting […]
[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 […]