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 […]
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[O’R] BigDataFr recommends: How big data, fast data, and real-time analytics work together in the real world #machine-learning #datascientist
BigDataFr recommends: Real-time, not batch-time, analytics with Hadoop How big data, fast data, and real-time analytics work together in the real world. ‘Today, we often hear the phrase “The 3 Vs” in relation to big data: Volume, Variety and Velocity. With the interest and popularity of big data frameworks such as Hadoop, the focus has […]
[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 […]
[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, […]
[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 […]
[Rayli] BigDataFr recommends: Top 10 data mining algorithms in plain R #datamining #algorithm #machine learning
BigDataFr recommends: Top 10 data mining algorithms in plain R Knowing the top 10 most influential data mining algorithms is awesome. Knowing how to USE the top 10 data mining algorithms in R is even more awesome. That’s when you can slap a big ol’ “S” on your chest… because you’ll be unstoppable! By the […]
[Robert Half – Etude Remuneration 2015] BigDataFr recommande : Chief Data Officer – un job en or
BigDataFr recommande : Chief Data Officer – un job en Or Extrait de l’Étude de Rémunération 2015 établie par Robert Half France Chief Data Officer (CDO) Quelle est sa fonction ? […] Les entreprises génèrent, collectent et stockent une quantité de données dont le volume a pris des proportions astronomiques avec l’incontournable dématérialisation des process […]
[arXiv] BigDataFr recommends: Predicting Regional Economic Indices using Big Data of Individual Bank Card Transactions #machine learning #datascientist
BigDataFr recommends: Predicting Regional Economic Indices using Big Data of Individual Bank Card Transactions ‘For centuries quality of life was a subject of studies across different disciplines. However, only with the emergence of a digital era, it became possible to investigate this topic on a larger scale. Over time it became clear that quality of […]
[IBM] BigDataFr recommends: Smart metering systems use data to optimize decision-making
BigDataFr recommends: Smart metering systems use data to optimize decision-making ‘Smart metering systems are the focal point of a massive utility shift. The Edison Foundation’s Institute for Electric Innovation estimates that over 50 million smart meters have been deployed in homes across the U.S. These systems are now present in nearly half of American households, […]