What Every Engineer Should Know about Data-Driven Analytics

* 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