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Added some machine learning stuff
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_pages/curriculum.md

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@@ -13,8 +13,9 @@ The tutorials will be based on the scientific Python stack, which is an ecosyste
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- The landscape of ocean data systems and data access workflow
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- Spatial statistics and geospatial mapping tools: e.g. Rasterio, Gdal
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- Working with data efficiently using open source Python tools: e.g. Xarray, Dask
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- Large-scale data processing frameworks: e.g. Pangeo, cloud computing
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- Data visualization tools: e.g. PyViz, Bokeh, Seaborn, Altair
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- Large-scale data analysis tools: e.g. Pangeo, cloud computing
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- Machine learning methods and tools: e.g. dimensionality reduction, classification, scikit-learn
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We will also have open discussion sessions on:
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- Code of conduct in collaborative research

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