What Every Engineer Should Know About Data-Driven Analytics
Gebonden Engels 2023 1e druk 9781032235431Samenvatting
• 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
Specificaties
Lezersrecensies
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan
