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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Bibliographic Details
Main Author: Nguyen, Quan (-)
Format: eBook
Language:Inglés
Published: New York : Manning Publications Co. LLC 2023.
Edition:1st ed
Series:In Action Series
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009786699406719
Description
Summary: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.
Item Description:Includes index.
Physical Description:1 online resource (325 pages)
ISBN:9781638353874