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0 Replies and 381 Views
Links to Jan 15 presentations :) 381 0
Started by Susan Nash
Seth Anderson's presentations: http://tiny.cc/AAPGSeth C.J. Ejimuda's presentation: https://docs.google.com/presentation/d/1hN-UvmO6B0xguvvxNBF0KlvCZdDaJ6rxJgwnx7c4GYM/editusp=sharing https://tinyurl.com/ycnhpwos
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15 Jan 2019 01:34 PM |
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0 Replies and 392 Views
Links to Jan 15 presentations :) 392 0
Started by Susan Nash
Seth Anderson's presentations: http://tiny.cc/AAPGSeth C.J. Ejimuda's presentation: https://docs.google.com/presentation/d/1hN-UvmO6B0xguvvxNBF0KlvCZdDaJ6rxJgwnx7c4GYM/editusp=sharing https://tinyurl.com/ycnhpwos
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15 Jan 2019 01:34 PM |
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0 Replies and 390 Views
Algorithms Score - Top and Bottom Lines 390 0
Started by Patrick Ng
On use case and business impact, check out Forbes article: https://www.forbes.com/sites/christopherhelman/2019/01/14/how-algorithms-are-taking-over-big-oil/686096c28e2f Top line 20 Bottom line 22 Delta 42
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15 Jan 2019 01:01 PM |
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0 Replies and 454 Views
Azure, AWS and GCP Snapshot Q3 454 0
Started by Patrick Ng
Key observations relevant to geoscience use of machine learning are as follows: Data Prep - for front end data preparation and processing, Azure ML Studio stands out. It looks and feels like modular signal processing design. So anyone who has seismic data processing background will find a natural fit. Coupled with Excel user interface (next), it paves the way to max utilization. User Interface for Machine Learning Input Parameters - Azure ML Studio ranks at the top because: a) opti...
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30 Nov 2018 11:45 PM |
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1 Replies and 853 Views
Amazon SageMaker 853 1
Started by Patrick Ng
The appeal is rapid experimentation. As Microsoft Azure ML Studio, AWS offering really simplifies data prep with pre-built templates. For specifics, follow this link: http://www.businesswire.com/news/home/20171129006097/en/AWS-Announces-New-Machine-Learning-Services-WorldE28099s Note - DeepLens will let you work on unstructured data like videos from a wireless video cam.
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