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0 Replies and 609 Views
Azure, AWS and GCP Snapshot Q1 2019 609 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 844 Views
Resources - Machine Learning with Susan Nash 844 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://broken.aapg.donfick.com/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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0 Replies and 489 Views
Takeaway from Playmakers Series / Moneymakers Forum @OKC 489 0
Started by Patrick Ng
Takeaway - expect shifting landscape and limiting capital for the next 3 years. Reasons being: 1) Binge on leasing and flipping is over. Consolidation is happening. 2) Focus on returns and cash flows. Running a business for the long haul (vs. transacting in and out). So the Panel's exchanges on: a) Minimize frac hits (interference) - combine analytics and in-situ experiments, pave the way to reduction of plugs with diverting agents, eventually lead to potential savings of $ 450,000 to ...
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05 Apr 2019 11:48 AM |
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