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CRC Press Learning with Uncertainty Machine Learning Book

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Description

Learning with Uncertainty by CRC Press provides a deep dive into machine learning scenarios involving complex data environments. This book explores how to manage randomness, roughness, fuzziness, and non-specificity within learning models. It offers a comprehensive look at uncertainty representation and how these factors influence performance. The text covers essential machine learning topics including decision tree learning, clustering in uncertain environments, and active learning based on uncertainty criteria. It also examines ensemble learning within an uncertainty framework. This resource is designed for those studying econometrics and advanced machine learning applications.

Key Features

CRC Press provides a detailed study of decision tree learning when applied to uncertain data scenarios.

The book covers clustering techniques specifically designed for uncertain environments.

Learn about active learning methods that utilize uncertainty criteria for better results.

Explore ensemble learning frameworks that incorporate uncertainty into their processes.

Understand the fundamentals of uncertainty including randomness, roughness, fuzziness, and non-specificity.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 September 2016
Listed Since
11 January 2016

Barcode

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