ENV : prod
CLUSTER : east
SERVER : va1.pricenetwork.com
image
Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)
by: Giovanni Seni - John Elder
1608452840 / 9781608452842

Book Description:
Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment timing to drug discovery, and fraud detection to recommendation systems -- where predictive accuracy is more vital than model interpretability. Ensembles are useful with all modeling algorithms, but this book focuses on decision trees to explain them most clearly. After describing trees and their strengths and weaknesses, the authors provide an overview of regularization -- today understood to be a key reason for the superior performance of modern ensembling algorithms. The book continues with a clear description of two recent developments: Importance Sampling (IS) and Rule Ensembles (RE). IS reveals classic ensemble methods -- bagging, random forests, and boosting -- to be special cases of a single algorithm, thereby showing how to improve their accuracy and speed. REs are linear rule models derived from decision tree ensembles. They are the most interpretable version of ensembles, which is essential to applications such as credit scoring and fault diagnosis. Lastly, the authors explain the paradox of how ensembles achieve greater accuracy on new data despite their (apparently much greater) complexity.This book is aimed at novice and advanced analytic researchers and practitioners -- especially in Engineering, Statistics, and Computer Science. Those with little exposure to ensembles will learn why and how to employ this breakthrough method, and advanced practitioners will gain insight into building even more powerful models. Throughout, snippets of code in R are provided to illustrate the algorithms described and to encourage the reader to try the techniques.

Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)

Buyback (Sell directly to one of these merchants and get cash immediately)

Bookstore Payment Good Condition New Condition  
$7.75 $7.75 Sell Here
Payment:
Shipping Details: BookByte pays cash, not credit, and takes pride in speedy payment, often within one day of processing your textbook. They pay the shipping.
$7.25 $7.25 Sell Here
Payment:
Shipping Details: ValoreBooks.com has some of the highest sell back prices offered, free shipping to their warehouse, and more than 500,000 sellable titles.
$7.25 $7.25 Sell Here
Payment:
Shipping Details: Bookstores.com is an online marketplace that connects buyers and booksellers in a secure environment. Bookstores.com is committed to creating a safe and reputable venue for customers to do business. Free FedEx printable shipping when you sell back your book.
$3.51 $3.51 Sell Here
Payment:
Shipping Details: Sell Back Your Book is owned by parent company Ez Book Recycle Inc. Ez Book Recycle Inc. is no stranger to buying items online. With the first buyback website launching in February 2008, Ez Book Recycle has purchased items from more than 100,000 individuals from every state in the U.S. Free shipping with printable label.
$3.40 $3.40 Sell Here
Payment:
Shipping Details:
$1.93 $1.93 Sell Here
Payment:
Shipping Details:
$1.48 $1.48 Sell Here
Payment:
Shipping Details: Simply confirm your quote, print a shipping label and packing slip, package your items, and ship them. An Amazon.com Gift Card will be deposited into your account upon receipt of items.

campusbooks.com  BBB Business Review CopyScape