Deep Learning/Machine Learning Technical Interest Group (TIG)

Applying new analytics, neural networks, computational approaches using structured and unstructured data, and also training neural networks with supervised and unsupervised algorithms. Chaired by Patrick Ng and Andrew Munoz.
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Last Post 24 Feb 2020 10:40 AM by  Susan Nash
Dr. Michael Pyrcz offers course in ML for Geoscientists
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Susan Nash
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24 Feb 2020 10:40 AM
    Have you been curious about implementing Machine Learning into your Geoscience and Subsurface workflows? Where should you start?

    The one-day course, Intro to Energy Machine Learning for Geoscientists, is a great starting point and will introduce the theory and practical applications of machine learning within the Subsurface.

    Date And Time
    Tue, March 31, 2020
    8:00 AM – 4:30 PM CDT

    Location
    Aramco Services Company
    1200 Smith Street
    Houston, TX 77002

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    The purpose of this workshop is:
    1. To introduce methods that improve data-driven decision making within geoscience teams.
    2. To get familiar with a variety of Machine Learning methodologies by learning them through real industry applications.

    The course will be delivered by renowned Geostatistics and Reservoir Modeling expert, Dr. Michael Pyrcz. (@geostatsguy)

    Dr. Pyrcz is also Chief Science Officer at daytum and a Distinguished Lecturer of AAPG.

    Course materials will consist of web-hosted lecture materials, instructor led, well-documented methods, workflow demonstrations, and coding examples.
    The workshop will be delivered via a cloud-based Jupyter Lab session, so the only thing you need to bring are your laptop and your fingers!

    Breakfast, lunch, coffee and light snacks included! We hope to see you there.

    Event page with outline and agenda: Eventbrite https://www.eventbrite.com/e/intro-...5952509539

    Please direct any questions to: contact@daytum.io

    If you are an AAPG member, please use discount code AAPGmember55 to get $55 off registration!


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