Search results for machine-learning
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197 datasets for “machine-learning”
- data.gov.au
Uncover-ML: a machine learning pipeline for geoscience data analysis.
Geoscience Australia DataUpdated 17 Oct 2025
… In this context, we have built a machine learning pipeline, called Uncover-ML, for both supervised and unsupervised …
- Open Government Canada
Reducing Employment Insurance Backlog: A Machine Learning Approach
Employment and Social Development Canada | Emploi et Développement social CanadaUpdated 21 Nov 2024
… In July 2023, the implementation of the Machine Learning model proved successful, resulting in the completion of over …
- JSON
- data.gov.au
High resolution conductivity mapping using regional AEM survey and machine learning
Geoscience Australia DataUpdated 16 Oct 2025
… We use a gradient boosted tree machine learning algorithm to discover relationships between AEM conductivity models across northern …
- data.gov.au
National Gravity and Magnetic Derivatives Customised for Data Analysis and Machine Learning
Geoscience Australia DataUpdated 16 Oct 2025
… Various Fast Fourier Transforms (FFT) were applied to each grid (see ‘Grids_for_Machine_Learning_dataset_notes.pdf …
- TIF
- Open Government Canada
Algorithmic Impact Assessment - Employment Insurance Machine Learning Workload
Employment and Social Development Canada | Emploi et Développement social CanadaUpdated 21 Nov 2024
## EI Machine Learning Workload: Achieving Workload Reduction in Employment Insurance Recalculation Processes Recalculation within the context of Employment …
- JSON
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 16 Oct 2025
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 20 Jan 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 2 Mar 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 7 Mar 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 25 Mar 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 20 Apr 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 30 Apr 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Australian Ocean Data NetworkUpdated 11 Jan 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Australian Ocean Data NetworkUpdated 23 Jan 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Australian Ocean Data NetworkUpdated 12 Feb 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Australian Ocean Data NetworkUpdated 5 Mar 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Australian Ocean Data NetworkUpdated 16 Mar 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Australian Ocean Data NetworkUpdated 29 Mar 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Australian Ocean Data NetworkUpdated 4 Apr 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML
- data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Australian Ocean Data NetworkUpdated 10 Apr 2026
In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …
- HTML