• 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
General
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