We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
£124.08
CRC Press - Learning from Data for Aquatic and Geotechnical Env
Price data checked 3 days ago
Price History & Forecast
Last 88 days • 88 data points
Price Distribution
Price distribution over 88 days • 6 price levels
Price Analysis
Most common price: £124 (41 days, 46.6%)
Price range: £115 - £136
Price levels: 6 different prices over 88 days
Description
Key Features
Integrates machine learning with existing modeling practices for aquatic and geotechnical environments.
Covers essential learning tasks including segmentation, clustering, classification, regression, and control.
Provides a unified methodology based on information theory, statistics, and machine learning concepts.
Offers a framework to build models using a combination of raw data and expert knowledge.
Uses various machine learning methods to assist in the extraction of important features.
Product Specifications
- Brand
- CRC Press
- Format
- paperback
- ASIN
- 0415391709
- Domain
- Amazon UK
- Release Date
- 16 October 2005
- Listed Since
- 09 February 2007
Barcode
No barcode data available
Similar Products You Might Like
Learning from Data for Aquatic and Geotechnical Environments
CRC Press
Model Induction from Data: Towards the next generation of computational engines in hydraulics and hydrology
CRC Press
Modelling for Coastal Hydraulics and Engineering
CRC Press
Machine Learning Applications in Subsurface Energy Resource Management: State of the Art and Future Prognosis
CRC Press
Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling
CRC Press
A Primer on Machine Learning Applications in Civil Engineering
CRC Press
Data-Driven Reservoir Modeling
Society of Petroleum Engineers
Machine Learning for Civil and Environmental Engineers: A Practical Approach to Data-Driven Analysis, Explainability, and Causality
Wiley
Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering: 67 (Water Science and Technology Library, 67)
Springer
Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques
Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques: UNESCO-IHE PhD Thesis
CRC Press
Machine Learning and its Applications
CRC Press
Machine Learning for Science and Engineering: Volume I: Fundamentals (Course Notes)
Artificial Intelligence for Subsurface Characterization and Monitoring
Machine Learning: Theory and Practice
CRC Press
Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models
CRC Press
Machine Learning for Subsurface Characterization
Gulf Professional Publishing
Machine Learning for Earth Sciences: Using Python to Solve Geological Problems (Springer Textbooks in Earth Sciences, Geography and Environment)
Springer
Advances in Subsurface Data Analytics: Traditional and Physics-Based Machine Learning
Elsevier
Deep Learning for Hydrometeorology and Environmental Science: 99 (Water Science and Technology Library, 99)
Springer
Data Science for Civil Engineering: A Beginner's Guide
CRC Press
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences
Flood Forecasting Using Machine Learning Methods
MDPI AG
Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing
CRC Press