What Every Engineer Should Know About Data-Driven Analytics - Hardback

• 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