Monroe eline (3 Ergebnisse)
- Softcover
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 16,01
Versand gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Monroe, Eline (illustrator).
- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 15,11
EUR 3,84 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Monroe, Eline (illustrator).
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 15,99
EUR 61,00 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. Neuware - Beyond Fixed Models: Bayesian Nonparametrics for Data Science is a comprehensive guide for data scientists, statisticians, and researchers who want to move beyond traditional parametric models. This book introduces Bayesian nonparametric methods and demonstrates how they can be applied to com…plex, real-world data challenges in a practical and accessible way.Readers will learn how to use flexible, data-driven models for tasks such as clustering, regression, time-series analysis, and spatial modeling. The book covers foundational topics like Bayesian inference and Dirichlet processes, moves into advanced techniques including Gaussian processes and hierarchical models, and explores cutting-edge methods like neural processes and deep kernel integration with machine learning pipelines.With clear workflows, reproducible examples, and guidance on computational tools such as Stan, PyMC, and GPflow, this book equips readers to build robust, scalable models while addressing interpretability and practical challenges in modern data science.Key Features: - Practical tutorials for implementing Bayesian nonparametric methods- Guidance on scalable computation and handling large datasets- Applications for clustering, regression, time-series, and spatial modeling- Step-by-step explanations of Dirichlet processes, Gaussian processes, and hierarchical models- Integration of advanced techniques with modern machine learning pipelines. Monroe, Eline (illustrator).
