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Optimal Learning / Edition 1
Barnes and Noble
Optimal Learning / Edition 1
Current price: $136.95
![Optimal Learning / Edition 1](https://prodimage.images-bn.com/pimages/9780470596692_p0_v3_s600x595.jpg)
![Optimal Learning / Edition 1](https://prodimage.images-bn.com/pimages/9780470596692_p0_v3_s600x595.jpg)
Barnes and Noble
Optimal Learning / Edition 1
Current price: $136.95
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Everyday decisions are made without the benefit of accurate information.
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:
Each chapter identifies a specific learning problem, presents the related, practical algorithms for implementation, and concludes with numerous exercises. A related website features additional applications and downloadable software, including MATLAB and the Optimal Learning Calculator, a spreadsheet-based package that provides an introduction to learning and a variety of policies for learning.