![probabilistic models in machine learning](https://static.wixstatic.com/media/2315ce_193e1c53b4d941f8a52d6e787ed266de~mv2.jpg/v1/fill/w_500,h_323,al_c,q_80,usm_0.66_1.00_0.01,enc_avif,quality_auto/2315ce_193e1c53b4d941f8a52d6e787ed266de~mv2.jpg)
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Probabilistic modeling
& Geo Data Analytics
Earth Intelligence is a specific part of AI with specific geo data analytics to build stochastic geo models.
![Geo data analytics diagram](https://static.wixstatic.com/media/2315ce_73d7fe29f3f74ab49ef3cd00beb7eb20~mv2.png/v1/fill/w_516,h_520,al_c,q_85,usm_0.66_1.00_0.01,enc_avif,quality_auto/ERMS-Earth-Intelligence-schema10.png)
Earth Intelligence is geo data analytics for building stochastic models:
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Earth Intelligence
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Automates & Optimizes MODEL building
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Valorizes input DATA
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Unifies Scenario design
Earth intelligence Smart Features
Applies to geo data (data with coordinates)
Based on mathematical “Kriging” Regionalized Variable Theory (Georges Matheron Paris School of Mines 1970)
Considers Uncertainty (estimation error) as the specific “loss / cost function” to be minimized at each step of the modeling process
Involves a set of specific “kriging & ensemble-based” machine learning algorithms
Earth intelligence Smart Benefits
Optimizes parametrization of deterministic processes
Automates knowledge-based modeling workflows
Best valorizes input DATA
Unifies deterministic design of alternative low, base and high case NUMERICAL MODELS as one single consistent P10 P50 P90 probabilistic scenario (P_SCENARIO)