By Jojo Moolayil
Enter the realm of net of items with the facility of knowledge technological know-how with this hugely useful, attractive book
About This Book
- Explore real-world use situations from the net of items (IoT) area utilizing determination technological know-how with this easy-to-follow, functional book
- Learn to make smarter judgements on most sensible of your IoT recommendations in order that your IoT makes sense in a true sense
- This hugely sensible, example-rich advisor fills the distance among your wisdom of information technological know-how and IoT
Who This ebook Is For
If you may have a uncomplicated programming event with R and wish to unravel company use circumstances in IoT utilizing selection technology then this publication is for you. no matter if your're a non-technical supervisor anchoring IoT initiatives, you could bypass the code and nonetheless enjoy the book.
What you are going to Learn
- Explore choice technological know-how with appreciate to IoT
- Get to grasp the top to finish analytics stack – Descriptive + Inquisitive + Predictive + Prescriptive
- Solve difficulties in IoT attached resources and hooked up operations
- Design and clear up real-life IoT enterprise use situations utilizing innovative computer studying techniques
- Synthesize and assimilate effects to shape the ideal tale for a business
- Master the artwork of challenge fixing whilst IoT meets choice technological know-how utilizing a number of statistical and desktop studying ideas besides palms on initiatives in R
With increasingly more units getting hooked up to the net, significant quantities of knowledge are being generated that may be used for research. This ebook enables you to comprehend net of items intensive and determination technological know-how, and clear up enterprise use instances. With IoT, the frequency and influence of the matter is massive. Addressing an issue with this type of large influence calls for a truly based approach.
The whole trip of addressing the matter through defining it, designing the answer, and executing it utilizing selection technological know-how is articulated during this booklet via attractive and easy-to-understand company use circumstances. you'll get an in depth realizing of IoT, choice technological know-how, and the paintings of fixing a company challenge in IoT via determination science.
By the tip of this publication, you’ll comprehend the complicated points of selection making in IoT and should have the ability to take that wisdom with you onto no matter what undertaking demands it
Style and approach
This scenario-based instructional techniques the subject systematically, permitting you to construct upon what you realized in past chapters.
Read Online or Download Smarter Decisions - The Intersection of Internet of Things and Decision Science PDF
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Input the area of net of items with the facility of knowledge technology with this hugely useful, attractive bookAbout This BookExplore real-world use situations from the net of items (IoT) area utilizing determination technological know-how with this easy-to-follow, sensible bookLearn to make smarter judgements on most sensible of your IoT ideas in order that your IoT makes sense in a true senseThis hugely useful, example-rich advisor fills the distance among your wisdom of knowledge technology and IoTWho This booklet Is ForIf you have got a easy programming event with R and wish to unravel enterprise use instances in IoT utilizing selection technology then this ebook is for you.
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Additional info for Smarter Decisions - The Intersection of Internet of Things and Decision Science
With the understanding of the problem life cycle concrete, lets now explore the problem landscape in detail. What is the problem landscape? Why do we need to bother about it? A simple answer would be, understanding the current state of the problem is just one dimension, but understanding the type of problem is a more essential part of problem solving. Lets make this simple. To understand the problem landscape, refer to the following image and try to visualize the problems on two dimensions-frequency and impact.
What are the different ensemble learning techniques? Quick Recap - Where were we previously? Ensemble modeling - random forest What is random forest? How do we build random forests in R? What are these new parameters? Mtry Building a more tuned version of the random forest model How? Can we improve this further? What can we do to achieve this? Ensemble modeling - XGBoost What is different in XgBoost? Are we really getting good results? What next? A cautionary note Neural Networks and Deep Learning So what is so cool about neural networks and deep learning?
What happened? Why and how did it happen? When will it happen (again)? So what, now what? Solving a prescriptive analytics use case Context for the use case Descriptive analytics - what happened? Inquisitive analytics - why and how did it happen? Predictive analytics – when will it happen? The inception of prescriptive analytics Getting deeper with prescriptive analytics Solving the use case the prescriptive way Test and control analysis Implementing Test & Control Analysis in Prescriptive Analytics Improving IVR operations to increase the call completion rate Reducing the repeat calls Staff training for increasing first call resolution rate Tying back results to data-driven and heuristic-driven hypotheses Connecting the dots in the problem universe Story boarding - Making sense of the interconnected problems in the problem universe Step 1 - Immediate Step 2 - Future Implementing the solution Summary 8.