Bayesian Optimization in Action

Bayesian Optimization in Action teaches you how to create efficient machine learning processes using a Bayesian approach. In it, you’ll explore practical techniques for training large datasets, hyperparameter tuning, and navigating complex search spaces. This interesting book includes engaging illus...

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Detalles Bibliográficos
Autor principal: Nguyen, Quan (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York : Manning Publications Co. LLC 2023.
Edición:1st ed
Colección:In Action Series
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009786699406719
Descripción
Sumario:Bayesian Optimization in Action teaches you how to create efficient machine learning processes using a Bayesian approach. In it, you’ll explore practical techniques for training large datasets, hyperparameter tuning, and navigating complex search spaces. This interesting book includes engaging illustrations and fun examples like perfecting coffee sweetness, predicting weather, and even debunking psychic claims. You’ll learn how to navigate multi-objective scenarios, account for decision costs, and tackle pairwise comparisons.
Notas:Includes index.
Descripción Física:1 online resource (325 pages)
ISBN:9781638353874