File:Ml pipeline.png
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Size of this preview: 800 × 293 pixels. Other resolutions: 320 × 117 pixels | 1,299 × 476 pixels.
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Depiction of a three-step process for the machine learning pipeline. The first step is data preparation. This is described as transforming the CTD data into features for a machine learning model. The second step is data partitioning. This is described as using a Gaussian Mixture Model to partition data into areas of differing water properties. The third step is data classification. This is described as using a Multi-Layer Perceptron to flag CTD scans for deletion or preservation.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 17:43, 16 December 2022 | | 1,299 × 476 (314 KB) | Lee.croft (talk | contribs) | |
| 17:14, 16 December 2022 |  | 1,295 × 478 (321 KB) | Lee.croft (talk | contribs) |
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