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.
具体描述
读后感
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...
评分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...
评分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...
评分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...
评分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...
用户评价
the caret package
评分老板推荐的教材，每天带薪阅读，可是对半路出家选手难度还是有点大，痛并快乐着。
评分开会见到了Max Kuhn，才想起他这本超级实用手册
评分一定要看英文版。千万别看中文版，千万别看中文版，千万别看中文版！！几个译者的水平太烂了，高考语文成绩估计不及格。
评分老板推荐的教材，每天带薪阅读，可是对半路出家选手难度还是有点大，痛并快乐着。
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