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| #28013 in Books | Springer | 2013-09-15 | Original language:English | PDF # 1 | 9.21 x1.31 x6.14l,2.20 | File type: PDF | 600 pages | ||84 of 87 people found the following review helpful.| Best Hands On Guide By Far|By Let's Compare Options Preptorial|There are many fine math-oriented predictive modeling books, such as Hastie (The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)). Kuhn et al consider them "sister texts" and begin immediately to differentiate-- their approach is hands on and||"There are a wide variety of books available on predictive analytics and data modeling around the web...we've carefully selected the following 10 books, based on relevance, popularity, online ratings, and their ability to add value to your business. 1. &
Winner of the 2014 Technometrics Ziegel Prize for Outstanding Book
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. ...
You can specify the type of files you want, for your device.Applied Predictive Modeling | Max Kuhn, Kjell Johnson. I was recommended this book by a dear friend of mine.
