Many people hear a lot about predictive analytics and big data but fail to see the relevance to their own businesses. Big data can benefit organisations in so many different ways, depending on your business model and what you are trying to achieve.
In this article, author talks about the need for a change in the predictive modeling community’s focus and compares the four types of data mining: algorithm mining, landscape mining, decision mining, and discussion mining.
In developing an effective big data analytics projects, decision makers need to use a blend of three major techniques to achieve their (Blending the three approaches to big data analytics - IT World Canada: In developing an effec...
Use big data wisely and it can provide big insights SciDev.Net The term 'big data' refers to the information generated by the everyday use of digital services, produced so frequently, in such diverse ways and at scales so large that it cannot be...
Biomedical sciences, especially fields such as genomics, are becoming Big Data fields, driven, to a large extent, simply by the ability to generate enormous data sets. (BioData Mining | Abstract | Big Data analysis on autopilot?
There were two big takeaways I had from Nate Silver’s time on #theCUBE during this week’s Tableau Customer Conference: 1) the editor of ESPN‘s FiveThirtyEight is more of a skeptic, taking a wait-and-see approach to Big Data, and 2) culture is more important when analyzing data than most realize. I was fascinated to hear Silver talk about culture being key for good data analysis, and was equally intrigued to learn that he isn’t as bullish on Big Data trends as most in his field tend to be.
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