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OverviewFull Product DetailsAuthor: Harry G. PerrosPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 0.700kg ISBN: 9780367686314ISBN 10: 0367686317 Pages: 372 Publication Date: 04 March 2021 Audience: Professional and scholarly , General/trade , Professional & Vocational , General Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. 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 ModelsReviewsAuthor InformationHarry 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. Tab Content 6Author Website:Countries AvailableAll regions |