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0 Replies and 441 Views Automated Machine Learning vs ML causing crisis  441  0 Started by  Patrick Ng Fine tuning ML model is made easy with Azure’s automated ML (link: https://azure.microsoft.com/en-us/blog/announcing-automated-ml-capability-in-azure-machine-learning/ ) While it is the opposite end member to “ML causing science crisis” (February 20, 2019 post), the real question is whether we learn with the machine, or outsource learning to the machine with “No need to “see” the data'. For gut check, how about auto-nose correction algorithm on the 737...
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23 Mar 2019 12:00 PM
2 Replies and 498 Views Machine Learning causing science crisis?  498  2 Started by  Patrick Ng 'Machine-learning techniques used by thousands of scientists to analyse data are producing results that are misleading and often completely wrong.' Link: https://www.bbc.com/news/science-environment-47267081 According to professor Allen from Rice University, Houston, “answers they come up with are likely to be inaccurate or wrong because the software is identifying patterns that exist only in that data set and not the real world.” Crisis Not quite. Pe...
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by  Patrick NgJump to last post
20 Feb 2019 01:55 PM
0 Replies and 458 Views Machine Learning experience across the Pond  458  0 Started by  Patrick Ng The very first EAGE / PESGB Workshop on ML, November 2018, focused on the latest developments in digital transformation, AI / ML, analytics, cloud computing, approaches, challenges and business impact in upstream. Link https://www.eage.org/sitecore/content/events/home/2018/first-eage-pesgb-workshop-on-machine-learningsc_lang=en Specifically of interest here are Deep Learning applications - 1. Reservoir properties prediction - compare deep neural network with multi-vari...
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12 Feb 2019 10:39 AM
0 Replies and 437 Views Business Breakthroughs with Digital Transformation Crossing Disciplines coming June 2019 @Austin, Texas  437  0 Started by  Patrick Ng Whether it is machine learning, AI or game changing practices we always want to know but may be afraid to ask, Energy IN Data is one venue to learn about, and share our experiences on tackling these challenges: 1. Technology / workflow 2. Business model / organizational culture 3. Changing professional / industry landscape See attached flyer for more information.
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07 Feb 2019 11:41 AM
2 Replies and 428 Views Links to Jan 15 presentations :)  428  2 Started by  Susan Nash Presentations in a special shared Google Drive: https://drive.google.com/drive/folders/1AoWMs3QN8FUQsmO48OkXdmLuXUP1864Ausp=sharing Link to Virtual Presentation on Risk Management using AI and other Analytics: https://www.linkedin.com/pulse/risk-management-energy-industry-using-analytics-machine-susan-nash/ Seth Anderson's presentations: http://tiny.cc/AAPGSeth C.J. Ejimuda's presentation: https://docs.google.com/presentation/d/1hN-UvmO6B0xguvvxNBF0KlvCZdDaJ6rxJgwnx7c4G...
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by  Susan NashJump to last post
28 Jan 2019 04:30 PM
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