|
|
|
|
|
|
0 Replies and 260 Views
Algorithms Score - Top and Bottom Lines 260 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
|
|
|
|
0 |
260 |
15 Jan 2019 01:01 PM |
|
0 Replies and 294 Views
Azure, AWS and GCP Snapshot Q3 294 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...
|
|
|
|
0 |
294 |
30 Nov 2018 11:45 PM |
|
1 Replies and 698 Views
Amazon SageMaker 698 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.
|
|
|
|
1 |
698 |
|
|
0 Replies and 376 Views
SEG Anaheim 2018: A Machine Learning Haven 376 0
Started by Andrew Munoz
The Society of Exploration Geophysicists (SEG) annual meeting is one of the largest gathering of geophysicists in the world. The most important and relevant topics affecting geophysics are always discussed in many different forms. This year, by far the most discussed topic was machine learning. From the plenary session that featured a very well attended talk from Darryl Willis of Google, to the many panels, oral sessions, posters, and workshop talks addressed how machine learning is impacting th...
|
|
|
|
0 |
376 |
05 Nov 2018 03:59 AM |
|
1 Replies and 351 Views
Salt Identification Challenge on Kaggle 351 1
Started by Patrick Ng
Consider the rate of external innovation in machine learning algorithms exceeds that of internal organization-specific development. 'To create the most accurate seismic images and 3D renderings, TGS is hoping Kaggle’s machine learning community will be able to build an algorithm that automatically and accurately identifies if a subsurface target is salt or not.' Check out the Kaggle Salt Identification Challenge - click on this link https://www.kaggle.com/c/tgs-salt-identification-challe...
|
|
|
|
1 |
351 |
|