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

更新時(shí)間：2021-07-14 10:39:25

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計(jì)算機(jī)網(wǎng)絡(luò) 編程語(yǔ)言與程序設(shè)計(jì)

IfyouhaveabasicprogrammingexperiencewithRandwanttosolvebusinessusecasesinIoTusingdecisionsciencethenthisbookisforyou.Evenifyour'reanon-technicalmanageranchoringIoTprojects,youcanskipthecodeandstillbenefitfromthebook.

目錄(76章)

倒序

封面
版權(quán)頁(yè)
Credits
About the Author
About the Reviewer
eBooks discount offers and more
Why subscribe?
Preface
What this book covers
What you need for this book
Who this book is for
Sections
Conventions
Reader feedback
Customer support
Chapter 1. IoT and Decision Science
Understanding the IoT
Demystifying M2M IoT IIoT and IoE
Digging deeper into the logical stack of IoT
The problem life cycle
The problem landscape
The art of problem solving
The problem solving framework
Summary
Chapter 2. Studying the IoT Problem Universe and Designing a Use Case
Connected assets & connected operations
Defining the business use case
Sensing the associated latent problems
Designing the heuristic driven hypotheses matrix (HDH)
Summary
Chapter 3. The What and Why - Using Exploratory Decision Science for IoT
Identifying gold mines in data for decision making
Exploring each dimension of the IoT Ecosystem through data (Univariates)
Studying relationships
Exploratory data analysis
Root Cause Analysis
Summary
Chapter 4. Experimenting Predictive Analytics for IoT
Resurfacing the problem - What's next?
Linear regression - predicting a continuous outcome
Decision trees
Logistic Regression - Predicting a categorical outcome
Summary
Chapter 5. Enhancing Predictive Analytics with Machine Learning for IoT
A Brief Introduction to Machine Learning
Ensemble modeling - random forest
Ensemble modeling - XGBoost
Neural Networks and Deep Learning
Packaging our results
Summary
Chapter 6. Fast track Decision Science with IoT
Setting context for the problem
Defining the problem and designing the approach
Exploratory Data Analysis and Feature Engineering
Building predictive model for the use case
Packaging the solution
Summary
Chapter 7. Prescriptive Science and Decision Making
Using a layered approach and test control methods to outlive business disasters
Connecting the dots in the problem universe
Story boarding - Making sense of the interconnected problems in the problem universe
Implementing the solution
Summary
Chapter 8. Disruptions in IoT
Edge/fog computing
Cognitive Computing - Disrupting intelligence from unstructured data
Next generation robotics and genomics
Autonomous cars
Privacy and security in IoT
Summary
Chapter 9. A Promising Future with IoT
The IoT Business model - Asset or Device as a Service
Smartwatch – A booster to Healthcare IoT
Smart healthcare - Connected Humans to Smart Humans
Evolving from connected cars to smart cars
Summary 更新時(shí)間：2021-07-14 10:39:25

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