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This demonstration shows how to use machine learning with ArcGIS to Predict Accident Probability per Segment per Hour in Utah. Navigate the world of ArcGIS, Artificial Intelligence (AI) and Machine Learning (ML), and learn how ArcGIS supports integration with open frameworks to solve spatial problems. Learn more about machine learning in ArcGIS here https://blogs.esri.com/esri/arcgis/2017/11/27/machine-learning-in-arcgis/.
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7 thoughts on “GeoAI: Machine Learning meets ArcGIS”
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very interesting
Proud of you Omar
very interesting
So how exactly does ArcGIS Pro factor in in all of this? "We used many tools to preprocess the data and extract the features" – okay sure, but that doesn't tell me why Pro is better than any other solution. I've used FOSS solutions to extract features from geodata with reasonable comfort, why then would it be 'extremely challenging' to do it in anything other than ArcGIS Pro? This is the exact part where the speaker was supposed to sell ArcGIS Pro, but it ended up as an empty remark. Dissapointing to say the least. This presentation really doesn't sell me on the idea that GeoAI is anything more than typical geoprocessing ahead of a regular pipeline.
where can I see the road digitization? that looks interesting!
I find this video very interesting. I am a beginner to this field and I wanted to know a pathway to enter this field of geoAI. Can any one help me or suggest any courses. It would be great if someone drop their email ID and so that I can contact them. Thanks
sir, plz provide python code for that specific work