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0 Replies and 348 Views Neural Network to predict aftershocks in earthquakes  348  0 Started by  Patrick Ng The physics is relating transfer of stresses via elasticity (physical rock property). Instead of treating neural network output weights out of a 'black box', according to the authors, 'We could look at what was coming out of this network and actually make sense of it, and it’s actually pointed us to some possibly different physical theories of what causes earthquake triggering, and so it’s leading us in a new direction, which is exciting for us.” For the full story, click on link below. Li...
0 348
30 Aug 2018 01:10 PM
1 Replies and 369 Views Azure, AWS or GCP - Q2 Snapshot  369  1 Started by  Patrick Ng As in machine learning, lets define Geek meter 1-10 (max out , 10 all command lines, scripts, bash etc.;1 - drag-n-drop with minimal coding). Here is a snapshot from the perspective of a practitioner with deployment as the goal. If much time-resource is spent on collaboration, workflow design and enrollment of practitioners from different disciplines, Azure machine learning (ML) Studio is a natural fit with data processing hand in glove. Highly intuitive. Low on the Geek meter. ...
1 369
by  Patrick NgJump to last post
28 Aug 2018 07:58 AM
0 Replies and 443 Views Students beat Google's Machine Learning Code  443  0 Started by  Patrick Ng Machine learning is not just an algorithm thing. It is a process. https://fossbytes.com/googles-machine-learning-code-beaten-by-student-coders/utm_medium=browser-notification&utm_source=onesignal&utm_campaign=notification-engagement Common framework analogy - data prep and wrangling are critical to machine learning success, as near-surface statics in land seismic data processing. No matter how sophisticated the imaging and inversion algorithms deployed, they cannot fix what is not taken c...
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14 Aug 2018 03:07 PM
0 Replies and 332 Views Applications of AI and Machine Learning for Seismic Reservoir Characterization  332  0 Started by  Patrick Ng As with any emerging technologies (e.g., AVO versus Azimuths, full-waveform depth imaging, time-lapsed monitoring of fractures), there comes an inflection point where adoption and application will take off fast and furious, leading to step change in business practice. Today machine learning is fast emerging as a powerful tool to uncover new insights and AI may pave the way to actionable wisdom. To separate facts on the 'ground' (geoscience core principles) from hype, here is a webinar worth ...
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03 Aug 2018 10:21 AM
2 Replies and 625 Views Forging the link between AI and First Principle  625  2 Started by  Patrick Ng 'Safe AI', i.e., learning with machine beats machine learning alone Recent headline news, 1) “Uber halts self-driving tests after death in Arizona” and 2) “Florida bridge collapse” are unfortunately one accident too many. First, our thoughts shall go to the families of the victims. Next is call for action on continuous learning within the context of AI and machine learning. Both events prompt us to take a closer look at how we learn from data. Over the coming months, please feel free to ...
2 625
by  Andrew MunozJump to last post
07 Jul 2018 09:17 AM
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