July 2016
Intermediate to advanced
392 pages
9h 38m
English
Overview
"Smarter Decisions - The Intersection of Internet of Things and Decision Science" focuses on integrating decision science principles into Internet of Things (IoT) projects. This book provides readers with actionable techniques utilizing data science and machine learning frameworks to solve real-world IoT business use cases effectively.
What this Book will help me do
- Understand decision science concepts customized for IoT application domains.
- Explore and implement the complete analytics stack: descriptive, inquisitive, predictive, and prescriptive.
- Develop sophisticated machine learning-based solutions for IoT-connected operations and assets.
- Translate IoT data-driven results into impactful business narratives.
- Approach complex IoT problems methodically, leveraging hands-on R exercises and frameworks.
Author(s)
Jojo Moolayil is an experienced practitioner in data science and IoT, bringing extensive professional expertise to this comprehensive guide. Authoring with a clear and approachable style, Jojo draws from practical industry scenarios to provide meaningful insights. His hands-on approach helps readers effectively bridge the gap between IoT technology and actionable business intelligence.
Who is it for?
This book is ideal for professionals with basic programming knowledge of R who aim to solve IoT business challenges using data and decision science methods. Equally beneficial for non-technical managers overseeing IoT projects, it provides actionable frameworks for both technical and strategic problem-solving. Whether you are already working on IoT projects or want to enter this field, this book offers you practical and meaningful tools to elevate your IoT endeavors.
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