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Can I read Optimal Learning (Wiley Series in Probability and Statistics) on EtoBox?

Optimal Learning (Wiley Series in Probability and Statistics) by Ryzhov, Ilya Olegovich;Powell, Warren B is a nonfiction available to read on EtoBox.

What is Optimal Learning (Wiley Series in Probability and Statistics) about?

Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especially when collecting information is time-consuming and expensive. Designed for readers with an elementary background in probability and statistics, the book presents effective and practical policies illustrated in a wide range of applications, from energy, homeland security, and transportation to engineering, health, and business. This book covers the fundamental dimensions of a learning problem and presents a simple method for testing and comparing policies for learning. Special attention is given to the knowledge gradient policy and its use with a wide range of belief models, including lookup table and parametric and for online and offline problems. Three sections develop ideas with increasing levels of sophistication: Fundamentals explores fundamental topics, including adaptive learning, ranking and selection, the knowledge gradient, and bandit problems Extensions and Applications features coverage of linear belief models, subset

Who reads Optimal Learning (Wiley Series in Probability and Statistics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Ryzhov, Ilya Olegovich;Powell, Warren B
Publisher
Wiley & Sons, Incorporated, John
Published
2012
Language
EN
ISBN
9780470596692
Category
nonfiction
Subjects
Mathematics, Computer Science, Science

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