本書作者Max Kuhn是康涅狄格州格羅頓市輝瑞全球研發非臨床統計部主任,在製藥和診斷行業已有近20年應用預測模型的經驗,他還是很多R包的作者。
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.
發表於2024-12-19
應用預測建模 2024 pdf epub mobi 電子書 下載
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...
評分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...
評分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...
評分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...
評分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...
圖書標籤: 認知科學 知識圖譜 Python
應用預測建模 2024 pdf epub mobi 電子書 下載