SKU/Artículo: AMZ-B0FT2K3467

Optimizing Recommendation Systems: Theory and Practice

Disponibilidad:
Fuera de stock
Peso con empaque:
0.36 kg
Devolución:
No
Condición
Nuevo
Producto de:
Amazon

Sobre este producto
  • Students and Researchers: Graduate and advanced undergraduate students in computer science, data science, or information systems will find the structured treatment of models and evaluation methods highly valuable. For researchers, it provides both a synthesis of existing literature and a platform for exploring open challenges such as personalization at scale and privacy-preserving learning.
  • Industry Professionals: Machine learning engineers, data scientists, and architects will benefit from practical guidance on scalability, deployment, and monitoring. The applied focus makes it a useful reference for building production-grade systems.
  • Policy and Ethics Stakeholders: As algorithms increasingly shape decisions, this book also provides a balanced view of fairness, explainability, and governance, extending the discussion beyond performance metrics to societal impact.

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