Readers are shown how to use the results to enable them to develop effective evidence-based HR strategies.”, “Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. Titles have been selected based on the total number and quality of reader user reviews and ability to add business value. Using realistic data, the book explains complex methods in a simple and practical way to readers from different backgrounds and industries. "Forecasting and Predictive Analytics with ForecastX" Textbook Introduces a Revolutionary Learning Experience. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. Post was not sent - check your email addresses! With the help of this friendly guide, you’ll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. Not affiliated There are few resources that can match the in-depth, comprehensive detail of one of the best data predictive analytics books. Not logged in Solutions Review - Business Intelligence |. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. This textbook presents a practical approach to predictive analytics for classroom learning. This updated version’s approach is based on the “six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away and presents each topic in two parts: theoretical concepts and practical implementation using suitable Python 3 packages. Part of Springer Nature. A The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. In no time, you’ll learn how to incorporate algorithms through data models, identify similarities and relationships in your data, and predict the future through data classification. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Updated: July 10, 2019. Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst shows tech-savvy business managers and data analysts how to use predictive analytics to solve practical business problems. Textbooks on Predictive Analytics. The book can be used as a textbook at the introductory level or as a reference for professionals.”, “You don’t need a time machine to predict the future. —David Leinweber, author, Nerds on Wall Street: Math, Machines and Wired Markets All it takes is a little knowledge and know-how, and Predictive Analytics For Dummies gets you there fast. Not sent - check your email predictive analytics textbook it to predict future outcomes data. 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