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Search results for jupyter notebook azure storage
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4 search results found
Pixel_level_land_classification
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166
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Azure Search Python Samples
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53
Azure Search Python sample code
Microsoft Academic Graph Pyspark Samples
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11
Sample PySpark code for interacting with the Microsoft Academic Graph
Azure Databricks
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10
Aprender análise de dados no Azure Databricks
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