Applied Predictive Analytics Principles and Techniques for the Professional Data Analyst (Record no. 49061)

MARC details
000 -LEADER
fixed length control field 01108 a2200181 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118727966
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312 ABB
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Abbott, Dean
245 ## - TITLE STATEMENT
Title Applied Predictive Analytics Principles and Techniques for the Professional Data Analyst
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Wiley
Place of publication, distribution, etc Indianapolis, IN
Date of publication, distribution, etc 2014
300 ## - PHYSICAL DESCRIPTION
Extent 427
520 ## - SUMMARY, ETC.
Summary, etc 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
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business planning-Mathematical models
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Decision making-Mathematical models
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Management--Mathematical models.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.