An Introduction to IoT Analytics (Chapman & Hall/CRC Data Science Series) 1st Edition
by:Harry G. Perros
Publisher Finelybook 出版社：Chapman and Hall/CRC; 1st edition (March 4, 2021)
pages 页数：372 pages
This book covers techniques that can be used to analyze data from IoT sensors and addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so one can learn how to apply these tools in practice with a good understanding of their inner workings. This is an introductory book for readers who have no familiarity with these techniques.
The techniques presented in An Introduction to IoT Analytics come from the areas of machine learning, statistics, and operations research. Machine learning techniques are described that can be used to analyze IoT data generated from sensors for clustering, classification, and regression. The statistical techniques described can be used to carry out regression and forecasting of IoT sensor data and dimensionality reduction of data sets. Operations research is concerned with the performance of an IoT system by:constructing a model of the system under study and then carrying out a what-if analysis. The book also describes simulation techniques.
IoT analytics is not just machine learning but also involves other tools, such as forecasting and simulation techniques.
Many diagrams and examples are given throughout the book to fully explain the material presented.
Each chapter concludes with a project designed to help readers better understand the techniques described.
The material in this book has been class tested over several semesters.
Practice exercises are included with solutions