Algorithms for Predictive Analytics

Predictive analytics algorithms are mostly derived from either traditional statistical methods or from contemporary machine learning techniques. According to a wealth of comparative studies published in the literature, while statistical methods are well established and theoretically sound, machine learning techniques are more accurate, informative, and actionable/practical. The statistical methods that have had the biggest impact in the evolution of predictive analytics and data mining include discriminant analysis, linear regression, and logistic regression. The most popular machine learning techniques used in numerous successful predictive analytics projects include decision trees, k-nearest neighbor, ...

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