372 Pages
186 Color Illustrations
by
Chapman & Hall
372 Pages
186 Color Illustrations
by
Chapman & Hall
372 Pages
186 Color Illustrations
by
Chapman & Hall
Also available as eBook on:
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... Read more
1. Introduction
2. Review of Probability Theory
3. Simulation Techniques
4. Hypothesis Testing
5. Multivariable Linear Regression
6. Time Series Forecasting
7. Dimensionality Reduction
8. Clustering Techniques
9. Classification Techniques
10. Artificial Neural Networks
11. Support Vector Machines
12. Hidden Markov Models
Biography
Harry G. Perros is a Professor of Computer Science at North Carolina State University, an Alumni Distinguished Graduate Professor, and an IEEE Fellow. He has published extensively in the area of performance modelling of computer and communication systems, and in his free time he likes to go sailing and play the bouzouki.
