BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst

Applied Predictive Analytics: Principles and Techniques for the Professional
Stock photo: cover may vary

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst Paperback - 2014

by Abbott, Dean

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
Ask the seller a question Add to wish list
NZ$78.15
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Dropship order
Ships from Bonita (California, United States)
The BIBLIO Guarantee

Details

  • Title Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst
  • Author Abbott, Dean
  • Binding Paperback
  • Edition INTERNATIONAL ED
  • Condition Used - Good
  • Pages 464
  • Volumes 1
  • Language ENG
  • Publisher Wiley
  • Publication date 2014-04
  • Bookseller's Inventory # 1118727967.G
  • ISBN 9781118727966 / 1118727967
  • Weight 1.8 lbs (0.82 kg)
  • Dimensions 9.1 x 7.3 x 1.1 in (23.11 x 18.54 x 2.79 cm)
  • Category Computers - Data Base Management
  • Library of Congress subjects Data mining, Management - Mathematical models
  • Library of Congress Catalogue Number 2013958302
  • Dewey Decimal Code 658.403
  • Quantity available 1

About Bonita California, United States

Biblio member since 2020

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Bonita

Reader reviews for Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

Learn the art and science of predictive analytics -- techniques that get results

Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included.

  • The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today
  • This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions
  • Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish
  • Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios
  • A companion website provides all the data sets used to generate the examples as well as a free trial version of software

Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.

About the author

DEAN ABBOTT is President of Abbott Analytics, Inc. (San Diego). He is an internationally recognized data mining and predictive analytics expert with over two decades experience in fraud detection, risk modeling, text mining, personality assessment, planned giving, toxicology, and other applications. He is also Chief Scientist of SmarterRemarketer, a company focusing on behaviorally- and data-driven marketing and web analytics.

Please wait a moment while we load the requested page.

tracking-