{ "item_title" : "Predictive Modeling and Analytics", "item_author" : [" Jeffrey Strickland "], "item_description" : "This book is about predictive modeling. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this as a survey of predictive models, both statistical and machine learning. We define A predictive model as a statistical model or machine learning model used to predict future behavior based on past behavior. In order to use this book, the reader should have a basic understanding of statistics (statistical inference, models, tests, etc.)-this is an advanced book. Every chapter culminates in an example using R. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. The book is organized so that statistical models are presented first (hopefully in a logical order), followed by machine learning models, and then applications: uplift modeling and time series. One could use this as a textbook with problem solving in R (there are no by-hand exercises).", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/31/237/544/1312375442_b.jpg", "price_data" : { "retail_price" : "50.69", "online_price" : "50.69", "our_price" : "50.69", "club_price" : "50.69", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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