Big data applications represent a fast-growing category of high-value applications that are increasingly employed by business and technical computing users. However, they have exposed an inconvenient dichotomy in the way resources are utilized in data centers. A new white paper that focuses on these issues is available here on insideBIGDATA.
Microsoft Research, the research arm of the software giant, is a hotbed of data science and machine learning research. Microsoft has the resources to hire the best and brightest researchers from around the globe. A recent publication is available for download (PDF): “Deep Learning: Methods and Applications” by Li Deng and Dong Yu, two prominent researchers in the field.
As an attempt to remain relevant in an increasingly data-driven world, many traditional news publications are embracing the sweeping changes in their industry by employing a broad swath of new technologies. Here is a good case in point: The Los Angeles Times Data Desk, offering content such as maps, databases, analysis, and visualizations.
The analytics software category is 30 years old and about $15 billion in size. So why is it that information technology research and advisory firm Gartner has not published a standalone Magic Quadrant on the sector until this year? The answer: Gartner has meshed business intelligence with analytics for the past decade, and viewed them […]
We sat down with Cristian Borcea, PhD from the New Jersey Institute of Technology to discuss the IoT and Big Data applications. “New machine learning techniques could help us extract knowledge from these data – this happens especially for knowledge that we don’t expect and we don’t even know exists – we cannot search for something that we don’t know exists.”
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