{"product_id":"beyond-fixed-models-bayesian-non-parametrics-for-data-science-9798266523968","title":"Beyond Fixed Models: Bayesian Non-Parametrics for Data Science","description":"\u003cp\u003e • Author(s): Eline Monroe | Alex Harrington\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Applied\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eBeyond Fixed Models: Bayesian Nonparametrics for Data Science\u003c\/i\u003e 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 complex, real-world data challenges in a practical and accessible way.\u003c\/p\u003e\u003cp\u003eReaders 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.\u003c\/p\u003e\u003cp\u003eWith 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey Features: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003ePractical tutorials for implementing Bayesian nonparametric methods\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eGuidance on scalable computation and handling large datasets\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApplications for clustering, regression, time-series, and spatial modeling\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eStep-by-step explanations of Dirichlet processes, Gaussian processes, and hierarchical models\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eIntegration of advanced techniques with modern machine learning pipelines\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46332713500823,"sku":"9798266523968","price":1027.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798266523968.webp?v=1768667554","url":"https:\/\/atlanticbooks.com\/products\/beyond-fixed-models-bayesian-non-parametrics-for-data-science-9798266523968","provider":"Atlantic Books","version":"1.0","type":"link"}