Each of these articles were viewed between 15,000 and 100,000 times, and were shared countless times. They were posted on Data Science Central in 2015. Later this month, ...
Summary: If you’re looking for a high growth, high demand area in data science where there is very high value and not many expert practitioners, look at time series f...
Geo Data in general is more than just maps, it describes objects and relations in space. Geo-data has wide range of applications. Here is the list of six sites which pr...
A research paper by renowned consultancy Aberdeen Group reveals that “[data] complexity is often best answered with simplicity”. Several new surveys conducted by the ...
The global big data market is expected to develop rapidly by 2018, with major contribution from the North America regional market. In the past few years, there has been a...
IT Ops Challenge Each layer of technology in the data centre is becoming progressively more complex to control and manage. The average server environment now has thousand...
Many Machine Learning articles and papers describe the wonders of the Support Vector Machine (SVM) algorithm. Nevertheless, when using it on real data trying to obtain ...
Guest blog post by Tony Abraham, Nikhita Koul, Joe Morales. A data science exploration of rap lyrics and what it takes to make it onto the billboard charts. Originally ...
I have to admit, I love the swell of Internet of Things devices and technology we’re seeing right now. Smart alarm clocks that can wake you without waking your bedma...
Written by Andy Palmer, CEO of Tamr Why It’s Time to Embrace “DataOps” as a New Discipline Over the past 10 years, many of us in technology companies have experienc...
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