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

More Information
  • Explore decision science with respect to IoT
  • Get to know the end to end analytics stack – Descriptive + Inquisitive + Predictive + Prescriptive
  • Solve problems in IoT connected assets and connected operations
  • Design and solve real-life IoT business use cases using cutting edge machine learning techniques
  • Synthesize and assimilate results to form the perfect story for a business
  • Master the art of problem solving when IoT meets decision science using a variety of statistical and machine learning techniques along with hands on tasks in R

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

  • Explore real-world use cases from the Internet of Things (IoT) domain using decision science with this easy-to-follow, practical book
  • Learn to make smarter decisions on top of your IoT solutions so that your IoT is smart in a real sense
  • This highly practical, example-rich guide fills the gap between your knowledge of data science and IoT
Page Count 392
Course Length 11 hours 45 minutes
ISBN 9781785884191
Date Of Publication 28 Jul 2016


Jojo Moolayil

Jojo Moolayil is an artificial intelligence, deep learning, machine learning, and decision science professional with over six years of industrial experience. He is the author of Learn Keras for Deep Neural Networks, published by Apress, and Smarter Decisions – The Intersection of IoT and Decision Science, published by Packt Publishing. He has worked with several industry leaders on high-impact, critical data science and machine learning projects across multiple verticals. He is currently associated with Amazon Web Services as a research scientist in Canada. Apart from writing books on AI, decision science, and the internet of things, Jojo has been a technical reviewer for various books in the same fields published by Apress and Packt Publishing.