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3 datasets for “distributed learning”

  1. Open Government Canada

    Sponge significant concentration areas in the Gulf of St. Lawrence

    Fisheries and Oceans Canada | Pêches et Océans CanadaUpdated 24 Mar 2026

    … catches and species distribution models. Predictive models were produced using a random forest machine-learning technique. For more …

    • SHP
    • CSV
    • ESRI REST
  2. Open Government Canada

    Sea pens significant concentration areas in the Gulf of St. Lawrence

    Fisheries and Oceans Canada | Pêches et Océans CanadaUpdated 24 Mar 2026

    … catches and species distribution models. Predictive models were produced using a random forest machine-learning technique. For more …

    • SHP
    • CSV
    • ESRI REST
  3. data.gov.au

    Statewide Marine Habitat Map 2023

    Department of Energy, Environment and Climate ActionUpdated 30 Jul 2026

    … To predict the distribution of habitats across Victorian waters the powerful and flexible Random Forest machine learning algorithm …

    • DWG
    • DXF
    • GDB
    • SHP
    • MIF
    • TAB
    • +1
“distributed learning” datasets · Open Data Finder