Titlebook: Essentials of Business Analytics; An Introduction to t Bhimasankaram Pochiraju,Sridhar Seshadri Textbook 2019 Springer Nature Switzerland A

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Lukas Hick,Dirk Börner,Henning Pagniaerstanding and examining data in word formats, which tend to be more unstructured and therefore more complex. Text analytics uses tools such as those embedded in R in order to extract meaning from large amounts of word-based data. Two methods are described in this chapter: bag-of-words and natural l

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Aakashjit Bhattacharya,Debashis Deof visits of a patient to a particular physician; the number of visits of a customer to a store; etc. In such contexts, the analyst is interested in explaining and/or predicting such outcome variables on the basis of explanatory variables.

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Web Cloud Communication Control,o other explanatory variables. The notion of “event” depends on the context and the applications. The event in question may be dealt as may happen in a biomedical context or churning in a business context or machine failure in an engineering context. Survival methods are characterized by “censoring”

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Development of Fetal Thyroid System Controlg is a rapidly growing area of machine learning. Machine learning (ML) has seen numerous successes, but applying traditional ML algorithms today often means spending a long time hand-engineering the domain-specific input feature representation. This is true for many problems in vision, audio, natura

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