应用预测建模

应用预测建模 pdf epub mobi txt 电子书 下载 2025

本书作者Max Kuhn是康涅狄格州格罗顿市辉瑞全球研发非临床统计部主任,在制药和诊断行业已有近20年应用预测模型的经验,他还是很多R包的作者。

出版者:世界图书出版公司
作者:Max Kuhn
出品人:
页数:600
译者:
出版时间:2017-5-1
价格:159.00元
装帧:平装
isbn号码:9787519220891
丛书系列:
图书标签:
  • 认知科学 
  • 知识图谱 
  • Python 
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This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms.

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I've read several books in machine learning. • Pattern recognition and machine learning • Introduction of statistical learning • Applied predictive models The first one is a comprehensive book to include all the theories and mathematical formu...

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I've read several books in machine learning. • Pattern recognition and machine learning • Introduction of statistical learning • Applied predictive models The first one is a comprehensive book to include all the theories and mathematical formu...

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I've read several books in machine learning. • Pattern recognition and machine learning • Introduction of statistical learning • Applied predictive models The first one is a comprehensive book to include all the theories and mathematical formu...

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I've read several books in machine learning. • Pattern recognition and machine learning • Introduction of statistical learning • Applied predictive models The first one is a comprehensive book to include all the theories and mathematical formu...

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I've read several books in machine learning. • Pattern recognition and machine learning • Introduction of statistical learning • Applied predictive models The first one is a comprehensive book to include all the theories and mathematical formu...

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