Applied Predictive Modeling 2025 pdf epub mobi 电子书

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发表于2025-01-27

Applied Predictive Modeling 2025 pdf epub mobi 电子书

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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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出版者:Springer

作者:Max Kuhn

出品人:

页数:600

译者:

出版时间:2013-9-15

价格:USD 89.95

装帧:Hardcover

isbn号码:9781461468486

丛书系列:

图书标签: 机器学习统计学 R MachineLearning 数据挖掘数学数据科学统计

Applied Predictive Modeling 2025 pdf epub mobi 电子书图书描述

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.

Applied Predictive Modeling 2025 pdf epub mobi 电子书

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