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Predictive analytics -Predictive analytics is the art and science of proposed predictive systems and models. With tuning over time, these models can predict an outcome with a far higher statistical probability than mere guesswork. Predictive analytics plays an essential role in the digital era. Most of the business strategies and planning depend on prediction and analytics using statistical approaches.
With the increasing digitization day by day, analytical challenges are also increasing at the same rate, such as digital information, which is rapidly growing, generating vast amounts of data. There are numerous statistical approaches to perform predictive analytics, including Bayesian analysis, Sequential analysis, Statistical prediction, risk prediction, and decision analytics.
Predictive Analytics Using Statistics and Big Data: Concepts and Modeling presents some latest and representative developments in predictive analytics using big data technologies. It focuses on some critical aspects of big data and machine learning and provides descriptions for these technologies. The proposed book addresses a comprehensive range of advanced data technologies with statistical modeling towards predictive analytics. This book will be of significant benefit to the community as a useful guide of the latest research in this emerging field, i.e., predictive analytics.
