More and more frequently we see organizations make the mistake of mixing and confusing team roles on a data science or "big data" project - resulting in over-allocation of responsibilities assigned to data scientists. For example, data scientists are often tasked with the role of data engineer leading to a misallocation of human capital. Here the data scientist wastes precious time and energy finding, organizing, cleaning, sorting and moving data. The solution is adding data engineers, among others, to the data science team.
In this talk, Ted Dunning presents new approaches to machine learning with Apache Mahout. This presentation explains predictive analytics for big scale data, including a new way to do collaborative filtering with cross-recommendations. It also presents advances in big data discovery through clustering. The highlight of the latter topic is a new, lightening-fast clustering algorithm that will be part of the 0.8 release of Apache Mahout that is coming very soon.
Data Center Knowledge With Havana Release, OpenStack Adds Enterprise Features Data Center Knowledge “The metering and monitoring is critical for anyone who is running a cloud,” said Jonathan Bryce, Executive Director of the OpenStack Foundation.”It...
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