Libros y Publicaciones Académicas
Goldsberry, K. (2019/2024). Sprawlball: The Codeball Revolution. Houghton Mifflin Harcourt.
Goodfellow, I., et al. (2016). Deep Learning. MIT Press.
Naismith, J. (1941). Basketball: Its Origin and Development. Association Press.
Oliver, D. (2004). Basketball on Paper. Potomac Books.
Papers y Reportes Técnicos
Cervone, D., et al. (2014/2025). Pointwise: Predicting points and valuing decisions with NBA optical tracking.
Le, H., et al. (2017). Data-driven Ghosting using Deep Imitation Learning. Disney Research.
Maheswaran, R., et al. (2024). The Physics and Data of the NBA. MIT Sloan Sports Analytics.
Rossi, A., et al. (2025). A Deep Learning Approach for Injury Forecasting. PLOS ONE.
Fuentes de Industria y Noticias
Deloitte (2026). Sports Industry Outlook: The AI Revolution.
NBA Advanced Stats (2026). Glossary and Metric Documentation.
Second Spectrum (2025). Technical Architecture of Skeletal Trac