Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code-in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business ...
Today, successful firms compete and win based on analytics. Modeling Techniques in Predictive Analytics brings together all the concepts, techniques, and R code you need to excel in any role involving analytics. Thomas W. Miller's unique balanced approach combines business context and quantitative to...
Today, successful firms compete and win based on analytics. Modeling Techniques in Predictive Analytics brings together all the concepts, techniques, and R code you need to excel in any role involving analytics. Thomas W. Miller's unique balanced approach combines business context and quantitative to...
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python (FT Press Analytics) By 作者: Thomas W. Miller ISBN-10 书号: 0133886557 ISBN-13 书号: 9780133886559 Edition 版本: 1 出版日期: 2015-05-22 pages 页数: (480 ) Contents Preface Figures Tables Exhibits 1.Understa...
Bottom Line: Value of Predictive Analytics Techniques in Businesses The business value of predictive analytics techniques is undeniable. Techniques like linear regression, neural networks, and decision trees can equip your business with the tools to prepare for future trends, optimize decision-making, an...
当当网图书频道在线销售正版《【预订】Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python》,作者:Miller,出版社:Pearson FT Press。最新《【预订】Marketing Data Science: Modeling Techniques in Predictive Analytics with R
当当书之源外文图书在线销售正版《预订 Marketing Data Science: Modeling Techniques in Predictive Analytics w [ISBN:9780133886559]》。最新《预订 Marketing Data Science: Modeling Techniques in Predictive Analytics w [ISBN:9780133886559]》简介、书评、试读、价
The predictive analytics process should embody what can be seen as a virtuous cycle. Once the data to be analyzed is collected, the next step is preparing it for analysis. To do so, an analyst standardizes and cleanses the data, a task that includes inputting missing values, eliminati...
With various analytics available in the market like descriptive, predictive, and prescriptive each having the ability to use the data to answer different questions, it is necessary to explore these analytics and their applicability in strategic business management. In light of the above, this chapter...
In this study, distinctive AI methods are applied to perform predictive analytics over the diabetes data sets. The proposed system strives for better prevention, diagnosis and management of Type 2 diabetes and focuses on developing machine learning strategies for precision medicine. It provides a ...