Michael Pyrcz

@GeostatsGuy

| | | | Associate Professor , | github/GeostatsGuy |

Born  , Now Austin, TX  
Geregistreerd in juni 2017

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  1. Vastgemaakte Tweet
    15 okt. 2017

    Inspired by , "Reasons All Geoscientists Should Learn Some Type of Coding". Any type can be beneficial.

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  2. 8 uur geleden

    Thank you so much for visiting us at . Check out Breakthrough Central Texas at and . Wonderful students and staff! I think we met a lot of future engineers this morning!

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  3. 10 uur geleden

    Hosting Breakthrough Central Texas! Provides extended learning, comprehensive advising, & leadership experiences, middle school through college to students in low-income communities who will be the first in their families to graduate from college w. !

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  4. 28 jun.
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  5. 28 jun.

    A reminder to register for the short course! We will teach the fundamental theory & practice of , accessible to & . You will leave with practical workflows to apply on the job to improve your impact! I'm happy to discuss!

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  6. 27 jun.

    The Jupyter notebook is available at: I welcome feedback. Improvements will benefit the students!

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  7. 27 jun.

    The Jupyter notebook is available at: I welcome feedback. Improvements will benefit the students!

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  8. 27 jun.

    Last night at experiencing ! Thank you! Amazing music, so good live, great venue, with songs of loss and defiance of death, life is beautiful, gather up all these memories, but let go! I'm inspired. Excellent stage show. I ❤️ music.

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  9. 27 jun.

    Many & struggle with for , & , because they don't know how to handle gridded data. Here's a tutorial in for basic operations with ndarrays (NumPy by J. Hugunin et al.) for building workflows.

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  10. 26 jun.

    RT: Decision Tree is one of the most simple, explainable & interpretable methods in ! Wrote a tutorial with with lots of details to support anyone wanting to try it out with a subsurface dataset on /GeostatsGuy ∀.

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  11. 24 jun.

    Shot with Canon EF 70-200mm at 200mm F2.8.

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  12. 24 jun.

    I was excited to see a pair of barn swallows build a nest above my front door here in the Texas Hill Country. Swallows are my favourites, I love their amazing fighter jet-like maneuverability. Today on the way back from the gym there was a row of tail feathers & then this!

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  13. 22 jun.
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  14. 22 jun.

    Many & struggle with for , & because they don't know how to handle their data. Here's a tutorial in for basic operations with DataFrames (pandas by et al.) for building workflows.

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  15. 22 jun.

    Happy . Almost 8 pm and still at department. No one warned me that a brand new professor basically lives on campus! Getting lots ready for next term etc. Hope our students are enjoying the summer & getting rested up for the intro class.

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  16. 21 jun.

    Just posted Lecture 2 on of my Introduction to undergraduate class. What is probability? How is it visualized? How is it calculated? Probability-based logic? Marginal, conditional & joint probabilities? Derivation and examples of Bayes' Theorem.

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  17. 20 jun.

    Support Vector Machine is a powerful method! Nonlinear classification is possible with the kernel trick! Wrote a tutorial in with lots of details to support anyone wanting to try it out. With a subsurface dataset on /GeostatsGuy ∀.

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  18. 17 jun.

    to all the fathers out there. Been one for almost 18 years. So much responsibility, but isn’t it amazing? Celebrated with breakfast in bed and trail run.

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  19. 16 jun.

    Added variogram maps to the GSLIB Python implementation / wrappers. Variogram maps are excellent tools to assess spatial continuity anisotropy (strength and direction). All the variogram-based spatial analysis methods are now available in as functions. /GeostatsGuy

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  20. 15 jun.

    Got laptop surface area that you would like to protect from scratches and you want all your friends & coworkers to know that you love (statistical approaches for spatial phenomenon)? I have a solution for you, Texas Center for Geostatistics decals! Just ask.

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  21. 15 jun.

    Completed the variogram modeling of GSLIB in . Just wrapped gamv for working with irregaulary space data and put together a workflow with documentation. I'm keeping it simple & true to GSLIB. Easy to use, visualize, code for anyone spatial!

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