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).
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Original Language: English
Book Title: Predictive Modeling and Analytics
Number of Pages: 488 Pages
Language: English
Publisher: Wright Books
Item Height: 1.1 in
Topic: General
Publication Year: 2014
Illustrator: Yes
Genre: Business & Economics
Item Weight: 29.7 Oz
Item Length: 9 in
Author: Jeffrey Strickland
Item Width: 6 in
Format: Trade Paperback
