Predictive Modeling and Analytics

By:

President Jeffrey Strickland

Format:

Paperback / softback

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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).

Release date Australia

July 23rd, 2014

Author

President Jeffrey Strickland

Audience

General (US: Trade)

Pages

488

Dimensions

152x229x28

ISBN-13

9781312375444

Product ID

22698450

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