Analytics, data science, & artificial intelligence systems for decision support
For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisions. Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introdu...
Autor principal: | |
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Otros Autores: | , |
Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Harlow :
Pearson
2021.
Harlow, England : [2021] |
Edición: | 11th ed. Global ed |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009749239206719 |
Tabla de Contenidos:
- PART I: INTRODUCTION TO ANALYTICS AND AI
- 1. An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence
- 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
- 3. Nature of Data, Statistical Modeling, and Visualization
- PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING
- 4. Data Mining Process, Methods, and Applications
- 5. Machine learning Techniques for Predictive Analytics
- 6. Deep Learning and Cognitive Computing
- 7. Text Mining, Sentiment Analysis, and Social Analytics
- PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
- 8. Prescriptive Analytics with Optimization and Simulation
- 9. Big Data, Location Analytics, and Cloud Computing
- PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
- 10. Robotics: Industrial and Consumer Applications
- 11. Group Decision Making, Collaborative Systems, and AI Support
- 12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors
- 13. The Internet of Things As a Platform for Intelligent Applications
- PART V: CAVEATS OF ANALYTICS AND AI
- 14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts.