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.
Deep Learning - Machine Learning TIG
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0 Replies and 294 Views Read This First!      294  0 Started by  Bogdan Michka Welcome to AAPG N.E.T., an online space where you can Network, Engage and Talk. Please complete the following steps before you begin interacting with the discussion boards: 1. Take time to review your profile and privacy settings, paying attention to your display name and photo, as they will be used to identify your posts. 2. Read the Discussion Boards FAQ page to learn the rules and get familiar with the features: — pa...
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09 May 2017 03:37 PM
0 Replies and 13 Views Risk averse - to be, or not to be  13  0 Started by  Patrick Ng In 2019, over a series of AAPG Analytics / Machine Learning Workshops across different regions, I posed this question to participants, “would you be ready to fly on 737 Max when it re-enters service” In sessions attended by mostly engineers and data scientists, fewer than three hands were raised. However, in one hosted by the Kansas Geological Survey, half a dozen participants raised theirs. Interpretation It may be attributable to professional mindsets, e.g., geologists more explorationist (r...
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18 Mar 2020 07:13 PM
0 Replies and 19 Views Watch Subsurface Data Analytics and Machine Learning by Dr. Michael Pyrcz  19  0 Started by  Bogdan Michka Watch Subsurface Data Analytics and Machine Learning, a Distinguished Lecture talk given by Michael Pyrcz during 2019-20 AAPG DL Season. Abstract: Every energy company that I visit is interested in growing internal capabilities to add value with data analytics and machine learning. Energy has a long history of working with large, ...
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03 Mar 2020 03:33 PM
0 Replies and 11 Views Excel-Based Random Forest Machine Learning Algorithms: Programming and Application  11  0 Started by  Susan Nash Check out the link: To give you a powerful new tool for your reservoir, reserves, supply chain, water management, and other models, AAPG is offering a machine learning course that jump-starts you into building powerful Random Forest algorithms without having to program in Python or R. You simply use Excel and Visual Basic, and your instructors will guide you as you build a too...
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03 Mar 2020 11:11 AM
0 Replies and 24 Views Dr. Michael Pyrcz offers course in ML for Geoscientists  24  0 Started by  Susan Nash 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 View Map The purpose of this...
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24 Feb 2020 10:40 AM
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Andrew Munoz Ensign Natural Resources
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