| 书目名称 | Predictive and Simulation Analytics | | 副标题 | Deeper Insights for | | 编辑 | Walter R. Paczkowski | | 视频video | http://file.papertrans.cn/755/754613/754613.mp4 | | 概述 | Emphasizes predictive and simulation analytics in complex systems.Presents methods for different system perspectives: operational, tactical, and strategic.Demonstrates concepts with programming exampl | | 图书封面 |  | | 描述 | .This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter notebooks, available at the book‘s affiliated Github..This volume is intended for current and aspiring business data analysts, data scientists, and market research professionals, in both the private and public sectors.. | | 出版日期 | Book 2023 | | 关键词 | information; prediction analytics; simulations; Monte Carlo; queuing theory; regression analysis; logistic | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-31887-0 | | isbn_softcover | 978-3-031-31889-4 | | isbn_ebook | 978-3-031-31887-0 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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