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Artificial Intelligence for Business Optimization: Research and Applications is primarily a business book that discusses the research and associated practical application of Artificial Intelligence (AI) and Machine Learning (ML) in order to achieve Business Optimization (BO).
Artificial Intelligence for Business Optimization: Research and Applications is primarily a business book that discusses the research and associated practical application of Artificial Intelligence (AI) and Machine Learning (ML) in order to achieve Business Optimization (BO).
Foreword by Andy Lyman. Preface. Readers. Figures. Acknowledgments. Authors. 1 Artificial intelligence and machine learning: Opportunities for digital business. 2 Data to decisions: Evolving interrelationships. 3 Digital leadership: Strategies for AI adoption. 4 Machine learning types: Statistical understanding in the business context. 5 Dynamicity in learning: Smart selection of learning techniques. 6 Intelligent business processes with embedded analytics. 7 Adopting data-driven culture: Leadership and change management for business optimization. 8 Quality and risks: Assurance and control in BO. 9 Cybersecurity in BO: Significance and challenges for digital business. 10 Natural intelligence and social aspects of AI-based decisions. 11 Investing in the future technology of self-driving vehicles: Case study. Appendix A: Frameworks and libraries for ML. Appendix B: Datasets for ML and predictive analytics. Appendix C: AI and BO research areas. Index.
| Erscheinungsjahr: | 2024 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| ISBN-13: | 9781032028866 |
| ISBN-10: | 1032028866 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Unhelkar, Bhuvan
Gonsalves, Tad |
| Hersteller: | Taylor & Francis Ltd (Sales) |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 234 x 156 x 17 mm |
| Von/Mit: | Bhuvan Unhelkar (u. a.) |
| Erscheinungsdatum: | 07.10.2024 |
| Gewicht: | 0,458 kg |
Foreword by Andy Lyman. Preface. Readers. Figures. Acknowledgments. Authors. 1 Artificial intelligence and machine learning: Opportunities for digital business. 2 Data to decisions: Evolving interrelationships. 3 Digital leadership: Strategies for AI adoption. 4 Machine learning types: Statistical understanding in the business context. 5 Dynamicity in learning: Smart selection of learning techniques. 6 Intelligent business processes with embedded analytics. 7 Adopting data-driven culture: Leadership and change management for business optimization. 8 Quality and risks: Assurance and control in BO. 9 Cybersecurity in BO: Significance and challenges for digital business. 10 Natural intelligence and social aspects of AI-based decisions. 11 Investing in the future technology of self-driving vehicles: Case study. Appendix A: Frameworks and libraries for ML. Appendix B: Datasets for ML and predictive analytics. Appendix C: AI and BO research areas. Index.
| Erscheinungsjahr: | 2024 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| ISBN-13: | 9781032028866 |
| ISBN-10: | 1032028866 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Unhelkar, Bhuvan
Gonsalves, Tad |
| Hersteller: | Taylor & Francis Ltd (Sales) |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 234 x 156 x 17 mm |
| Von/Mit: | Bhuvan Unhelkar (u. a.) |
| Erscheinungsdatum: | 07.10.2024 |
| Gewicht: | 0,458 kg |
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