What is spatial data science? With Matt Forest from Carto (Ep. 190)

from Data Science at Home · host Francesco Gadaleta <frag>

In this episode I am with Matt Forrest, VP of Solutions Engineering at Carto. We speak about machine learning applied to spatial data, spatial SQL and GIS (Geographic Information System).Enjoy the show! This episode is brought to you by RailzAIThe Railz API connects to major accounting platforms to provide you with quick access to normalized and analyzed financial data. Get free access to their API and more. Just tell them you came through Data Science at Home podcast. and by Amethix TechnologiesAmethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business. ReferencesCarto https://carto.comSpatial Feature Engineering: https://geographicdata.science/book/intro.htmlCARTO Blog: https://carto.com/blog/Spatial SQL Resources: https://forrest.nyc/learn-spatial-sql/Spatial Data Science: https://forrest.nyc/geospatial-python This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceathome.substack.com

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