Posts In Category

Data Science

While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

Data ScienceMachine LearningNews

Hamed Pirsiavash, a postdoctoral scholar from MIT, is developing a new activity-recognition algorithm to identify what’s happening in video files. Pirsiavash and his former thesis advisor, Deva Ramanan of the University of California at Irvine, will present the video recognition programme at the Conference on Computer Vision and Pattern Recognition

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BI & AnalyticsData ScienceNews

Over the past two months, SAS have been staking their claim for in-memory analytics for Hadoop. They have been providing data scientists and analysts with fast, powerful new tools for advanced analytics. First, there was SAS In-Memory Statistics for Hadoop, allowing users to build, explore and model data, all within

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Python Gobbling R
Data Science

As data science becomes more mainstream, it appears that Python is muscling out R as the programming language of choice. The following factors are at work: 1. R not really a language R is considered by some to be an “interactive environment for doing statistics”. This makes it harder for

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BI & AnalyticsData Science

Remi Mollicone is the Chairman of CFAR-m. CFAR-m is an original method of aggregation based on neural networks which can summarize with objectivity, the information contained in a large number of complex variables. CFAR-m solves the major problem of fixing the subjective importance of each variable in the aggregation (It avoids

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The Simpsons' paradox
Data Science

Simpson’s paradox happens when behaviour at the group level is different from the behaviour of its subgroups. For example, consider a mobile app with 10,000 Android users and 5,000 on iOS. If we make the assumption that all users spend equally, then it may make more sense to prioritize development

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big data in education
Data Science

This article is based on an excerpt of  Learning with Big Data: The Future of Education by Viktor Mayer-Schönberger, Kenneth Cukier. Big Data in Education What if data collected during your journey through education was collected and stored? What if the records would forever show that you had to take a

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BI & AnalyticsData Science

Pic :  A view of the CERN computing server where all the data is backed up The Large Hadron Collider (LHC) is a multi billion-dollar particle accelerator that was built to answer some of the most fundamental questions about nature such as the origin of the universe. But what does this

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Data Science

Jake Flomenberg, Venture Capitalist at Accel Partners has over a decade of experience building innovative software products. Jake focuses on early stage investments in next generation infrastructure and data-driven services . He is part of the team responsible for Accel’s Big Data Fund. Prior to Accel, Jake  has worked at Cloudera and Splunk where he was

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Data ScienceMachine LearningTechnology & IT

Big data is overwhelmingly powerful, overwhelmingly omnipresent, and most of all, overwhelming to grasp. As such, three factors, three big data waves are currently rolling into our ports. Big data is to be generated, gathered, and aggregated, accumulated, produced, analyzed, and understood at ever increasing speeds.  With the ‘internet of

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