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The same holds true for data analytics projects.
Deep Learning concepts provide one such solution venue for data analytics experts and practitioners.
Relatedly, as the knowledge economy grows, the need for data analytics and understanding expert systems increases.
Applications which are meant for data analytics generally deal with large data sets that undergo several stages of processing.
In the recent era, determining the best strategy for data analytics is an important task to an organization.
In Sect. 5 we illustrate the case study showing the effectiveness for data analytics of the proposed models and methods.
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She was drawn, she said, to the allure of "Big Data" and the rapidly growing demand for data analytic services.
Descriptive statistics were generated for data analytic strategies and missing data strategies used in the 165 RCTs of pharmacotherapies for AUD and alcohol misuse.
However, covariate misclassification often biases parameter estimates for data-analytic models.
Although MPI appears to be perfect for developing algorithms for big data analytics, it has some major drawbacks.
Until the last few years, CPUs were mainly responsible for accelerating the algorithms for big data analytics.
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