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 444 Views Read This First!      444  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 90 Views CCUS - from an Independent's perspective  90  0 Started by  Patrick Ng This AAPG Pivoting 2021 Webinar took place 09.15.2021. Link to the video recording will be added when available. Watch this space. Data - the challenge and opportunity to 'play' with satellite imaged infrared data is posted on Xrathus (sign up and access). Get set and get started. Abstract - Until recently, Enhanced Oil Recovery (EOR) projects utilizing CO2 have primarily been the exclusive bailiwick of large operators with ...
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16 Sep 2021 09:11 AM
0 Replies and 116 Views Azure, AWS and GCP Snapshot Q2 2021  116  0 Started by  Patrick Ng Premise - usability of OSDU (open subsurface data universe). Scenario - want to access seismic and well log data, prep ML. Azure - Machine Learning Studio (classic) offers the best-in-class drag-and-drop machine learning builder. For those experienced in seismic data processing, the UI comes naturally. However, when it comes to OSDU, if accessible via OSDU connector, like Power BI, that will supercharge ML Studio to ML Nirvana. (Just add one OSDU box at the top to the rest of prep-ML workf...
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19 Jul 2021 09:10 PM
0 Replies and 77 Views Deep Learning with Deep Earth Data  77  0 Started by  Patrick Ng Remember the movie 'Inception', DiCaprio explained about planting a thought inside someone's mind - 'We need to go deeper' This is our opportunity to do really deep dive into Earth's data universe, e.g., is 5-layer RNN good enough, or go deeper with 128, and if quantum computing is handy, why not 1,024 kind of deep No doubt what DeepTime Digital Earth reveals will span years of work and lead to hundreds of papers published. But for data sleuths, al...
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13 Jul 2021 03:18 PM
0 Replies and 134 Views ML - more doing, less guessing  134  0 Started by  Patrick Ng Premise - we all learn AI / ML in different ways, I for one go for Coursera (Prof Andrew Ng's ML series) and BYO apps, as well as online learning nuggets that offer value for no cost. Actionable - starting tomorrow, free sampling intro sessions across ML and data science offering from Daytum, an energy-focused education platform. First and foremost, Prof Pyrcz speaks 'geo' and makes these a solid starting point / refresher for anyone embar...
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09 Jun 2021 01:57 PM
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