surely described approximately IT outsourcing services that how where and why pick out outsource services in shap of freelancing systems like freelancers, fiverr and upwork as nicely benifits and fee etc. and many others. Outsourcing can convey huge blessings in your enterprise, however there are sizeable risks and demanding situations while negotiating and coping with […]
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A main application of Generalized linear models(GLMs) with respect to big data is in the insurance industry for building ratemaking models. Ratemaking is the determination of insurance premiums based on risk characteristics (that are captured in rating variables); GLMs have become the standard for fitting ratemaking models due to their ability to accommodate all
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There have been so many news stories and hype about big data, and how it can transform your business, that it begins to sound like something you would find. It is often portrayed as the answer to all things that cause problems for organizations. There are promises that it will identify the right customers
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Regression analysis is likely the first predictive modeling method you learned as a practitioner during your academic studies or the most common modeling method for your analytics group. Regression concepts were first published in the early 1800s by Adrien‐Marie Legrendre and Carl Gauss. Legrendre was born into a wealthy French family and contributed to
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Although data mining provides the means to deal efficiently with large amounts of, usually, peculiar data, healthcare data analysis in the Internet of Things era is far from an uncomplicated task. The term “big data” is very popular nowadays and is used to describe the explosively extended collections of data, which carry significantly more peculiarities.
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Data mining emerged in order to cope with the challenges that traditional data analysis techniques where facing up when dealing with large amounts of data. Moreover, these data often have a lot of peculiarities (e.g. missing values, noise, etc.). More specifically, data mining is the main step in the process of Knowledge Discovery in Databases
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A multi-agent architecture for an integrated system that considers data identification, asset valuation, and risk management has been proposed by researchers at Carnegie Mellon University. The system is called WARREN which refers to the first name of the famous investor Warren Buffet (Sycara, Decker, Pannu, Williamson, & Zeng, 1996). The WARREN system design includes
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