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0 Replies and 567 Views
Resources: Machine Learning with Deborah Sacrey 567 0
Started by Bogdan Michka
Watch Data Mining/Machine Learning and the Evolution of the Petroleum Geoscientist with Deborah Sacrey, Auburn Energy. AAPG Energy Insights Podcast Episode 9. https://broken.aapg.donfick.com/videos/interview/Articleid/53602/machine-learning-with-deborah-sacrey
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16 Jul 2019 03:02 PM |
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0 Replies and 590 Views
Azure, AWS and GCP snapshot Q2, 2019 590 0
Started by Patrick Ng
Azure - while Auto-ML imbedded in Power BI can deliver standard classification and regression, it does require a Premium subscription. In a multi-tier model, Pro tier won’t get Auto-ML yet. If Microsoft’s stated goal is “democratizing ML”, Azure shows it can be done by 80/20 rule - 80 of the time, suffice as first quicklook. Just as features normalization from Lexus to Toyota over time, tiered features to Pro will be a welcome change in Q4. AWS - while Alexa can play nice with Python, the pr...
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08 Jul 2019 07:12 PM |
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0 Replies and 588 Views
Resources: AAPG Energy Insights Podcast 588 0
Started by Bogdan Michka
Did you know AAPG had a podcast AAPG Energy Insights Podcast features people who are defining, influencing and leading today's world of geosciences. Listen to us on the web or on iTunes, Spotify, Google Play Music, Stitcher, and others. iTunes: https://podcasts.apple.com/us/podcast/aapg-energy-insights-podcast/id1460045559mt=2&app=itunes Spotify: https://open.spotify.com/show/7tFNst8Td2HIdVI1lt9GlL Stitcher: https://www.stitcher.com/sfid=...
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29 May 2019 02:07 PM |
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0 Replies and 536 Views
Deep Learning with Geospatial Production Data 536 0
Started by Patrick Ng
Background - often the first thing when we appraise acreage, is to generate a map and look at production in the area of interest. Today we may go further with a quick-n-dirty ML run and get estimate of cumulative production or CUM (over some time period of economic interest). Based on feedback from the AAPG ML and Analytics Workshop, January 2019, one popular request is to create a community of sharing what we have collectively learn from applying ML to our work. We can share things we le...
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27 May 2019 03:33 PM |
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0 Replies and 536 Views
Physics-strong Machine Learning 536 0
Started by Patrick Ng
Background - often we hear people question neural network (NN) as a black box. Recall in geoscience, we often validate an earth model using seismic-well calibration at selected well locations. We prefer a white box. Action - seek black-to-white box pathway, in July 2018, AAPG hosted the inaugural hackathon. https://broken.aapg.donfick.com/publications/blogs/learn/article/articleid/48323/-domain-meets-deep-neural-networks-hybrid-physics-based-hackathon-for-geoscientists-and-engineers Follow up - ex...
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10 May 2019 09:11 AM |
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