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 413 Views Read This First!      413  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: http://www.aapg.org/career/aapg-net/discussion-boards-faq — pa...
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09 May 2017 03:37 PM
0 Replies and 14 Views Azure, AWS and GCP Snapshot Q2 2021  14  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 19 Views Deep Learning with Deep Earth Data  19  0 Started by  Patrick Ng Remember the movie 'Inception', DiCaprio explained about planting a thought inside someone's mind - 'We need to go deeper' https://www.iugs.org/dde 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 72 Views ML - more doing, less guessing  72  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. https://www.eventbrite.com/o/daytum-21726800390 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
0 Replies and 57 Views AAPG-SPE Marriage  57  0 Started by  Patrick Ng We all read this morning AAPG and SPE coming together as one. It accelerates the shift from petroleum to energy. So how can Deep Learning TIG contribute 1. Learn a little more jargons used (may be same term but different context) and communicate better; e.g., using visuals of 3Ps (P10, P50, P90) and simple proxy model (linear fit) may be useful. Click on the map (e.g., sweet spots around Midland Airport) https://www.vue-shale-wells.com/ Update 06.09.2021 - attach...
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25 May 2021 09:22 AM
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