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

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

By : Jojo Moolayil
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Smarter Decisions - The Intersection of Internet of Things and Decision Science

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

5 (1)
By: Jojo Moolayil

Overview of this book

With an increasing number of devices getting connected to the Internet, massive amounts of data are being generated that can be used for analysis. This book helps you to understand Internet of Things in depth and decision science, and solve business use cases. With IoT, the frequency and impact of the problem is huge. Addressing a problem with such a huge impact requires a very structured approach. The entire journey of addressing the problem by defining it, designing the solution, and executing it using decision science is articulated in this book through engaging and easy-to-understand business use cases. You will get a detailed understanding of IoT, decision science, and the art of solving a business problem in IoT through decision science. By the end of this book, you’ll have an 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
Table of Contents (10 chapters)
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Chapter 5. Enhancing Predictive Analytics with Machine Learning for IoT

The predictive stack for analytics is an extremely wide and varied domain. Many ambiguous buzz words and disciplines can be associated with this field. Statistical modeling, machine learning, artificial intelligence, neural networks, deep learning, cognitive computing, and the list goes on. The variety of definitions available for each of these disciplines makes it difficult to articulate the similarities and differences between them. Our initial exercises were aligned towards statistical modeling; we will now focus more on machine learning. The difference between the two is mainly the school that they originate from. Statistical modeling comes from the mathematical school whereas machine learning evolved from computer science.

In this chapter, we'll enhance our predictive analytics skills using cutting-edge machine learning algorithms that will help us predict with better accuracy. From the time we started...

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