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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

Product type Book
Published in Jul 2016
Publisher Packt
ISBN-13 9781785884191
Pages 392 pages
Edition 1st Edition
Languages
Author (1):
Jojo Moolayil Jojo Moolayil
Profile icon Jojo Moolayil

Table of Contents (15) Chapters

Smarter Decisions – The Intersection of Internet of Things and Decision Science
Credits
About the Author
About the Reviewer
eBooks, discount offers, and more
Preface
IoT and Decision Science Studying the IoT Problem Universe and Designing a Use Case The What and Why - Using Exploratory Decision Science for IoT Experimenting Predictive Analytics for IoT Enhancing Predictive Analytics with Machine Learning for IoT Fast track Decision Science with IoT Prescriptive Science and Decision Making Disruptions in IoT A Promising Future with IoT

Summary


In the current chapter, we took our problem solving skills one step ahead by trying to answer the question 'When'. In an attempt to provide John's team with a more powerful and actionable solution, we touched base on the predictive stack of data science. We analyzed the problem and found two different ways to solve the same problem-one being a regression problem (predicting a continuous outcome) and the other being a classification problem (predicting a categorical outcome). We started by solving the problem to predict the output quality parameter for the detergent before being manufactured. We used Linear Regression and also experimented the same problem with CART, that is, Decision trees. You learned about the functioning of the algorithm in detail (keeping the mathematical aspect aside) and experimented with a variety of techniques to improve the accuracy, but didn't achieve favorable results.

We then experimented with the alternative approach, where the same problem was defined...

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