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@@ -35,10 +35,18 @@ The required datasets are available in the [GeoDataSets](https://github.com/Geos
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The interative Python examples include a variety of topics like:
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-* Bayesian statistics
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+* Bayesian and frequentist statistics
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+* univariate and bivariate statistics
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+* confidence intervals and hypothesis testing
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+* Monte Carlo methods and bootstrap
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+* inferential machine learning, principal component and cluster analysis
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+* predictive machine learning, norms, model parameter training and hyperparameter tuning, overfit models
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+* uncertainty modeling checking
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+* spatial data debiasing
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* variogram calculation and modeling
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-* spatial estimation
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-* spatial simulation
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+* spatial estimation, issues and trend modeling
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+* spatial simulation and summarization over realizations
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+* decision making in the presence of uncertainty
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If you want to see all my shared educational content check out:
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* [**Resources Inventory**](https://github.com/GeostatsGuy/Resources)
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Michael Pyrcz