BigDataFr recommends: Big Data Analytics for Dynamic Energy Management in Smart Grids ‘The smart electricity grid enables a two-way flow of power and data between suppliers and consumers in order to facilitate the power flow optimization in terms of economic efficiency, reliability and sustainability. This infrastructure permits the consumers and the micro-energy producers to take […]
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[O’R] BigDataFr recommends: The tensor renaissance in data science #datascientist #machinelearning
BigDataFr recommends: The tensor renaissance in data science The O’Reilly Data Show Podcast: Anima Anandkumar on tensor decomposition techniques for machine learning. « After sitting in on UC Irvine Professor Anima Anandkumar’s Strata + Hadoop World 2015 in San Jose presentation, I wrote a post urging the data community to build tensor decomposition libraries for data science. […]
[O’R – Strata + Hadoop World London] BigDataFr recommends: Data Science in 3D with Autodesk’s Mike Haley #machinelearning
BigDataFr recommends: Data Science in 3D with Autodesk’s Mike Haley ‘Data science provides a better way to take on design problems “How does nature do design? Mike Haley, senior director of emerging products and technology at Autodesk, says it finds the best existing solution to a problem and iterates from there. Yet, human designers don’t […]
[Keyrus] BigDataFr recommends: Keyrus Belgium launches International Data Scientist Program – Brussels – London #datascientist #machinelearning
recommends Keyrus Belgium launches International Data Scientist Program with a 6-week boot camp More information on the program, Keyrus Group to train and recruit 50 top-level data scientists In the continuity of the development of its consulting and R&D activities in Big Data and Data Science, Keyrus Group announces an ambitious Data Scientist Program […]
[O’R – Strata + Hadoop World London] BigDataFr recommends: Predicting a Billboard Music Hit with Shazam Data #datascientist
BigDataFr recommends: Predicting a Billboard Music Hit with Shazam Data ‘Shazam already knows the next big hit “With relative accuracy, we can predict 33 days out what song will go to No. 1 on the Billboard charts in the U.S.,” says Cait O’Riordan, VP of product for music and platforms at Shazam. O’Riordan walks through […]
[arXiv] BigDataFr recommends: On the Feasibility of Distributed Kernel Regression for Big Data #datascientist #machinelearning
BigDataFr recommends: On the Feasibility of Distributed Kernel Regression for Big Data « In modern scientific research, massive datasets with huge numbers of observations are frequently encountered. To facilitate the computational process, a divide-and-conquer scheme is often used for the analysis of big data. In such a strategy, a full dataset is first split into several […]
[O’R] BigDataFr recommends: Why VMs aren’t the solution for next-gen applications #machinelearning
BigDataFr recommends: The unwelcome guest: Why VMs aren’t the solution for next-gen applications Scale-out applications need scaled-in virtualization. « Data center operating systems are emerging as a first-class category of distributed system software. Hadoop, for example, is evolving from a MapReduce framework into YARN, a generic platform for scale-out applications. To enable a rich ecosystem of […]
[databricks] Project Tungsten: Bringing Spark Closer to Bare Metal #spark #machinelearning
BigDataFr recommends: Project Tungsten: Bringing Spark Closer to Bare Metal « In a previous blog post, we looked back and surveyed performance improvements made to Spark in the past year. In this post, we look forward and share with you the next chapter, which we are calling Project Tungsten. 2014 witnessed Spark setting the world record […]
[LaTribune] Data Scientist : le métier le plus attrayant du XXIe siècle ?
BigDataFr recommande: Data Scientist : le métier le plus attrayant du XXIe siècle ? « Dans le sillage du Big Data, que recouvre au juste le terme de « Data Scientist » ? Quelles sont ses compétences ? Pourquoi ces profils seront-ils très recherchés ces prochaines années ? Il y a fort à parier, en effet, que les […]
[arXiv] BigDataFr highly recommends: Leading Undergraduate Students to Big Data Generation #datascientist #machinelearning #conceptlearning
BigDataFr highly recommends: Leading Undergraduate Students to Big Data Generation Introduction « People are facing a flood of data today. Data are being collected at unprecedented scale in many areas, such as networking[14][2][4], image processing[15 ][5], visualization[12], scientific computation, data base[17][18], and algorithms. The huge data nowadays are called Big Data. Big data is an all-encompassing […]