Introduction

Following a short introduction to internet of things (IoT), the techniques covered in this book are presented and motivated. These are as follows: simulation, multivariable linear regression, time series forecasting, dimensionality reduction, clustering, classification, artificial neural networks, support vector machines, and Hidden Markov models. Simulation techniques are used to determine the design of a future IoT system so that it performs well for an anticipated load generated by its sensors. The remaining techniques are from Statistics and Machine Learning, and they are used to analyze data generated from sensors for decision-making. The set of techniques presented in this book provides a good foundation for doing IoT analytics.