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Predictive analytics for dummies

By: Contributor(s): Publication details: Wiley India 2014 New DelhiDescription: xii, 344 pISBN:
  • 9788126548965
Subject(s): DDC classification:
  • 658.056312  B2P7
Summary: Predictive Analytics For Dummies will help the reader understand the core of predictive analytics and get them started quickly as possible with readily available tools to collect and analyze data, and then make predictions. This book will not bog the reader down with advanced mathematical pre-requisites, but will cover just enough concepts to make meaningful decisions on which algorithms to use and how to create effective predictive models. The author will also address "soft" issues, including handling people, setting realistic goals, protecting budgets, making useful presentations, and more, to help the reader prepare for shepherding predictive analysis projects through their companies (http://www.wileyindia.com/predictive-analytics-for-dummies.html)
List(s) this item appears in: VR_Healthcare Analytics
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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 35-A / Slot 1877 (2nd Floor, East Wing) Non-fiction General Stacks 658.056312 B2P7 (Browse shelf(Opens below)) Available 189321

Predictive Analytics For Dummies will help the reader understand the core of predictive analytics and get them started quickly as possible with readily available tools to collect and analyze data, and then make predictions. This book will not bog the reader down with advanced mathematical pre-requisites, but will cover just enough concepts to make meaningful decisions on which algorithms to use and how to create effective predictive models. The author will also address "soft" issues, including handling people, setting realistic goals, protecting budgets, making useful presentations, and more, to help the reader prepare for shepherding predictive analysis projects through their companies (http://www.wileyindia.com/predictive-analytics-for-dummies.html)

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