9e Data Analytics Reboot: Spatial Debiasing

Описание: Data Analytics and Geostatistics Undergraduate Course, Professor Michael J. Pyrcz

Lecture Summary:
Lecture on spatial debiasing with secondary data to mitigate sampling bias. This method is applied to infer missing parts of feature distributions. For more on the causes of spatial data bias see my lecture on spatial bias:    • 9c Data Analytics Reboot: Spatial Bias  . To learn about spatial data debiasing with declustering (when we have the entire feature distribution available) see my lecture on declustering:    • 9d Data Analytics Reboot: Spatial Decluste...  

Free, Online Course e-book Chapter:
https://geostatsguy.github.io/Geostat...
Theory and well-documented workflows linked to the lectures and interactive Python dashboards.

Course Summary:
Data Analytics and Geostatistics is an undergraduate course that I teach at The University of Texas at Austin. We build up fundamental spatial, subsurface, geoscience and engineering modeling, from probability, statistics, heterogeneity measures, spatial continuity models, spatial estimation, spatial simulation, model checking, decision making, and machine learning basics. I provide accessible content to help you face the digital revolution!

My Shared Educational Content:
YouTube:    / @geostatsguylectures  
GitHub: https://github.com/GeostatsGuy
Course e-book: https://geostatsguy.github.io/Geostat...
I share all of my university educational content to support students and working professionals interested to learn data analytics, geostatistics, and machine learning.

More About the Author:
https://michaelpyrcz.com

I hope that you find my educational course content helpful on your data science journey,

Professor Michael J. Pyrcz
Cockrell School of Engineering
Jackson School of Geosciences
The University of Texas at Austin

#dataanalytics #datascience #geostatistics #machinelearning