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0 Replies and 443 Views
Physics-strong Machine Learning 443 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://www.aapg.org/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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0 Replies and 497 Views
Azure, AWS and GCP Snapshot Q1 2019 497 0
Started by Patrick Ng
Snapshot is based on recent experience and what I like about them. Azure - Auto-ML and Power BI link up really compresses cycle time from data to ML and visualize the result. Assume data prep is done, and for test drive case data stored in Excel, running simple Auto-ML classification from setup to execution in 15 min. No programming in R or Python required (think NASCAR, stock cars on steroid). AWS - 1) Alexa really opens the door to AI without explicitly learning how to pro...
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01 May 2019 11:19 PM |
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24 Apr 2019 07:45 AM |
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24 Apr 2019 07:43 AM |
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0 Replies and 700 Views
Resources - Machine Learning with Susan Nash 700 0
Started by Bogdan Michka
Watch Introduction to Machine Learning/Deep Learning with Susan Nash, AAPG's Director of Innovation & Emerging Science/Technology, AAPG Energy Insights Podcast Episode 7. https://www.aapg.org/videos/interview/articleid/52567/machine-learning-with-susan-nash Feel free to ask questions in the comments under the video, to be addressed in the future editions of the Podcast.
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16 Apr 2019 02:56 PM |
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