Smarter Decisions - The Intersection of Internet of Things and Decision Science
暫譯: 更智慧的決策 - 物聯網與決策科學的交匯點

Key Features

• 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

Book Description

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 of a problem and the 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

What you will learn

• 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

About the Author

Jojo Moolayil is a Data Scientist with over 3 years of extensive and varied experience in the field of Internet of Things, decision science, machine Learning, and big data analytics. He has worked with industry leaders to provide analytical solutions for business problems. His experience in the analytics industry is mainly with Mu Sigma Inc. and Flutura Decision Sciences and Analytics.