£175.02

CRC Press - Learning from Data for Aquatic and Geotechnical

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Description

Enhance your modeling practices in aquatic and geotechnical environments with this specialized guide from CRC Press. This book introduces machine learning as a powerful method for building models that learn directly from data. It provides a clear foundation in the core concepts of machine learning, offering practical ways to complement existing modeling workflows. The text identifies essential learning tasks including segmentation (clustering), classification, regression, and control. By utilizing a unified methodology that combines machine learning, information theory, and statistics, readers can learn to build robust models that integrate both data and expert knowledge. This approach helps professionals extract meaningful features and improve the accuracy of their environmental and engineering models.

Key Features

Learn core machine learning tasks including clustering, classification, regression, and control for specialized environments.

Apply a unified methodology that integrates machine learning, information theory, and statistics for model building.

Complement existing modeling practices in aquatic and geotechnical fields using data-driven approaches.

Build effective models by combining available data with established expert knowledge.

Utilize machine learning methods to extract important features from complex datasets.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 October 2017
Listed Since
08 December 2017

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No barcode data available

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