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.
Python Displacing R in 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
CFAR-m: Simplifying The Complexity of Big Data
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
Simpson’s Paradox in Mobile App Monetization
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
Big Data in education: Can our past dictate our future?
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
Large Hadron Collider to Digital Advertising: How Big Data provides the answers
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
Big Data Stack explained : Accel Partners
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
The Three Big Data Waves breaking now
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
