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HandsOn Prescriptive Analytics by Walter R Paczkowski PAPERBACK 9781098153175
HandsOn Prescriptive Analytics by Walter R Paczkowski PAPERBACK 9781098153175
HandsOn Prescriptive Analytics by Walter R Paczkowski PAPERBACK 9781098153175
HandsOn Prescriptive Analytics by Walter R Paczkowski PAPERBACK 9781098153175
HandsOn Prescriptive Analytics by Walter R Paczkowski PAPERBACK 9781098153175
HandsOn Prescriptive Analytics by Walter R Paczkowski PAPERBACK 9781098153175
HandsOn Prescriptive Analytics by Walter R Paczkowski PAPERBACK 9781098153175

HandsOn Prescriptive Analytics by Walter R Paczkowski PAPERBACK 9781098153175

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Hands-On Prescriptive AnalyticsOptimizing Your Decision Making with Python\nAuthor(s): Walter R. Paczkowski\nFormat: Paperback\nPublisher: O'Reilly Media, United States\nImprint: O'Reilly Media\nISBN-13: 9781098153175, 978-1098153175\nSynopsis\nBusiness decisions in any context-operational, tactical, or strategic-can have considerable consequences. Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved. These decisions are usually made under the proverbial cloud of uncertainty.\n\nWith this practical guide, data analysts, data scientists, and business analysts will learn why and how maximizing positive consequences and minimizing negative ones requires three forms of rich information: Descriptive analytics explores the results from an action-what has already happened. Predictive analytics focuses on what could happen. The third, prescriptive analytics, informs us what should happen in n

HandsOn Prescriptive Analytics by Walter R Paczkowski PAPERBACK 9781098153175

Hands-On Prescriptive AnalyticsOptimizing Your Decision Making with Python\nAuthor(s): Walter R. Paczkowski\nFormat: Paperback\nPublisher: O'Reilly Media, United States\nImprint: O'Reilly Media\nISBN-13: 9781098153175, 978-1098153175\nSynopsis\nBusiness decisions in any context-operational, tactical, or strategic-can have considerable consequences. Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved. These decisions are usually made under the proverbial cloud of uncertainty.\n\nWith this practical guide, data analysts, data scientists, and business analysts will learn why and how maximizing positive consequences and minimizing negative ones requires three forms of rich information: Descriptive analytics explores the results from an action-what has already happened. Predictive analytics focuses on what could happen. The third, prescriptive analytics, informs us what should happen in n

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