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Smarter Decisions - The Intersection of Internet of Things and Decision Science

You're reading from   Smarter Decisions - The Intersection of Internet of Things and Decision Science A comprehensive guide for solving IoT business problems using decision science

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785884191
Length 392 pages
Edition 1st Edition
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Author (1):
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Jojo Moolayil Jojo Moolayil
Author Profile Icon Jojo Moolayil
Jojo Moolayil
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Table of Contents (10) Chapters Close

Preface 1. IoT and Decision Science FREE CHAPTER 2. Studying the IoT Problem Universe and Designing a Use Case 3. The What and Why - Using Exploratory Decision Science for IoT 4. Experimenting Predictive Analytics for IoT 5. Enhancing Predictive Analytics with Machine Learning for IoT 6. Fast track Decision Science with IoT 7. Prescriptive Science and Decision Making 8. Disruptions in IoT 9. A Promising Future with IoT

Preface

The Internet of Things and decision science are among the most trending topics in the industry right now. The problems we solve today have become increasingly ambiguous, uncertain and volatile, and therefore the means to solve them. Moreover, problem solving has evolved from solving one specific problem using data science to the art of problem solving using decision science. The Internet of Things provides a massive opportunity for business to make human life easier which can only be leveraged using decision science. Smarter Decisions – The Intersection of Internet of Things and Decision Science, will help you learn the nuances of IoT and Decision and practically aid you in smarter decision making by solving real-life Industrial & Consumer IoT use cases. The book gives paramount focus on solving a fundamental problem. Therefore, the entire journey of addressing the problem by defining, designing and executing it using industry standard frameworks for decision science is articulated through engaging and easy-to-understand business use cases. While solving the business use cases, we will touch base with the entire data science stack that is descriptive + inquisitive + predictive + prescriptive analytics by leveraging the most popular and open source software 'R'. By the end of this book, you'll have complete understanding of the complex aspects of decision making in IoT and will be able to take that knowledge with you onto whatever project calls for it.

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