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Machine learning for civil & environmental engineers : a practical approach to data-driven analysis, explainability, and causality / M.Z. Naser

By: Material type: TextTextPublisher: Hoboken, New Jersey : John Wiley & Sons, [2023]Description: xix, 588 pages : illustrationsContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781119897606
Other title:
  • Machine learning for civil and environmental engineers
Subject(s): DDC classification:
  • 006.31
Contents:
Teaching methods for this textbook
Introduction to machine learning
Data and statistics
Machine learning algorithms
Performance fitness indicators and error metrics
Coding-free and coding-based approaches to machine learning
Explainability and interpretability
Causal discovery and casual inference
Final thoughts and future directions
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Holdings
Item type Current library Collection Call number Copy number Status Barcode
Book Book Lagro Branch Reference Section Reference R 006.31 N247m 2023 (Browse shelf(Opens below)) c. 2 Room use only 57745QC
Book Book Main Library Reference Section Reference R 006.31 N247m 2023 (Browse shelf(Opens below)) c. 1 Room use only 57744QC

Includes bibliographical references and index.

Teaching methods for this textbook

Introduction to machine learning

Data and statistics

Machine learning algorithms

Performance fitness indicators and error metrics

Coding-free and coding-based approaches to machine learning

Explainability and interpretability

Causal discovery and casual inference

Final thoughts and future directions

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