| dc.description.abstract | Enter the world of Internet of Things with the power of data science with this highly practical, engaging book. About This BookExplore real-world use cases from the Internet of Things (IoT) domain using decision science with this easy-to-follow, practical bookLearn to make smarter decisions on top of your IoT solutions so that your IoT is smart in a real senseThis highly practical, example-rich guide fills the gap between your knowledge of data science and IoTWho This Book Is For. If you have a basic programming experience with R and want to solve business use cases in IoT using decision science then this book is for you. Even if your're a non-technical manager anchoring IoT projects, you can skip the code and still benefit from the book. What You Will LearnExplore decision science with respect to IoTGet to know the end to end analytics stack – Descriptive + Inquisitive + Predictive + PrescriptiveSolve problems in IoT connected assets and connected operationsDesign and solve real-life IoT business use cases using cutting edge machine learning techniquesSynthesize and assimilate results to form the perfect story for a businessMaster 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 RIn Detail. 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. | en_US |
