Hands-On Prescriptive Analytics: Optimizing Your Decision Making with Python by

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Hands-On Prescriptive Analytics by Walter R. Paczkowski

With 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.

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Business 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 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 the all three are important for decision-makers, the primary focus of this book is on the third: prescriptive analytics. Author Walter R. Paczkowski, Ph.D. shows you:The distinction among descriptive, predictive, and prescriptive analyticsHow predictive analytics produces a menu of action optionsHow prescriptive analytics narrows the menu of action optionsThe forms of prescriptive analytics: eight prescriptive methodsTwo broad classes of these methods: non-stochastic and stochasticHow to develop prescriptive analyses for action recommendationsWays to use an appropriate tool-set in Python

Details ISBN1098153170 Author Walter R. Paczkowski Pages 300 Publisher O'Reilly Media Year 2024 ISBN-13 9781098153175 Format Paperback Imprint O'Reilly Media Subtitle Optimizing Your Decision Making with Python Place of Publication Sebastopol Country of Publication United States ISBN-10 1098153170 Publication Date 2024-11-01 US Release Date 2024-11-01 UK Release Date 2024-11-01 Country of Origin US Product Class Description Management Techniques DEWEY 005.133
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