Description
• Utilizes case studies from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision making
• Introduces various approaches to build models that exploits different algorithms
• Discusses predictive models that can be built through machine learning and used to mine patterns from large datasets
• Explores the augmentation of technical and mathematical materials with explanatory worked examples
• Includes a glossary, lecture notes, self-assessments, and worked-out practice exercises
Book Information
ISBN 9781032235431
Author Satish Mahadevan Srinivasan
Format Hardback
Page Count 260
Imprint Taylor & Francis Ltd
Publisher Taylor & Francis Ltd
