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