Name: Michael Pyrcz
Type: User
Company: @UTAustin
Bio: Full Professor at The University of Texas at Austin working on
Spatial Data Analytics, Geostatistics and Machine Learning
Twitter: GeostatsGuy
Location: Austin, TX, USA
Blog: http://www.michaelpyrcz.com/
Michael Pyrcz's Projects
My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
52 Things You Should Know About Geocomputing
5-day course on Geostatistics, Data Analytics and Machine Learning
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
2 Day short course on spatial stat analytics, geostatistics and machine learning.
Python interactive dashboards for learning data science
Digital Reservoir Characterization Technology Consortium, UT Austin
A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
Synthetic datasets for geoscience (geo)statistical modeling
Two day course on geostats and machine learning
Information about me.
(Geo)statistical course materials released for anyone to use (.pdf format). Enjoy! I'm happy to discuss.
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
Course on the GeostatsPy Python geostatistics package covering uncertainty modeling with declustering and simulation.
Well-documented demonstration workflows with the GeostatsPy package.
Introduction to spatial data analytics and machine learning with GeostatsPy Python package
Well-documented demonstrations of the GeostatsPy package for geostatistics and spatial data analytics.
Geostatistical utilities and tutorial in R. For the tutorials I have included Rmarkdown html files.
Executables for GSLIB on Mac OS
Static builds of GSLIB for Windows to solve issues with missing DLL files.
FORTRAN tools to assist with building geostatistical workflows.
A collection of interactive geostatistical tutorials in Jupyter Notebooks / Binder.
The exercises from my Introduction to Geostatistics available on YouTube on the GeostatsGuy Lectures Channel.
My graduate level machine learning course, including student machine learning projects.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent