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Get the answers and support you need.
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Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
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The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
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 RailzAI
The 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 Technologies
Amethix 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.
References
Carto https://carto.com
Spatial Feature Engineering: https://geographicdata.science/book/intro.html
CARTO Blog: https://carto.com/blog/
Spatial SQL Resources: https://forrest.nyc/learn-spatial-sql/
Spatial Data Science: https://forrest.nyc/geospatial-python
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