Deep Learning/Machine Learning Technical Interest Group (TIG)

Applying new analytics, neural networks, computational approaches using structured and unstructured data, and also training neural networks with supervised and unsupervised algorithms. Chaired by Patrick Ng and Andrew Munoz.
Deep Learning - Machine Learning TIG
Search this discussion:
You are not authorized to create a new topic
Page 1 of 1412345 > >>
 Last Post
0 Replies and 299 Views Read This First!      299  0 Started by  Bogdan Michka Welcome to AAPG N.E.T., an online space where you can Network, Engage and Talk. Please complete the following steps before you begin interacting with the discussion boards: 1. Take time to review your profile and privacy settings, paying attention to your display name and photo, as they will be used to identify your posts. 2. Read the Discussion Boards FAQ page to learn the rules and get familiar with the features: — pa...
0 299
09 May 2017 03:37 PM
0 Replies and 8 Views Free e-Course on AI and Geoscience  8  0 Started by  Patrick Ng Check these out from our sister organization SEG. See what is on offer and coming down the course pipeline.
0 8
21 May 2020 10:09 AM
0 Replies and 10 Views R-naught and b-factor  10  0 Started by  Patrick Ng By now we have all heard of the challenges of modeling coronavirus spread. What we know today may need to be revised once more data becomes available (per Drs Birx and Fauci of CDC). Does that ring a bell in machine learning Perspective - if we draw a parallel between the R-naught* of covid-19 model and the b-factor in Arp’s hyperbolic decline curve for a well (and there exist many models to characterize well behavior), maybe we’d better appreciate the challenges CDC and virologists face...
0 10
20 May 2020 12:39 PM
0 Replies and 43 Views Risk in Ten Cents and Subzero  43  0 Started by  Patrick Ng History is made today.
0 43
20 Apr 2020 01:32 PM
1 Replies and 70 Views Dr. Michael Pyrcz offers course in ML for Geoscientists  70  1 Started by  Susan Nash Have you been curious about implementing Machine Learning into your Geoscience and Subsurface workflows Where should you start The one-day course, Intro to Energy Machine Learning for Geoscientists, is a great starting point and will introduce the theory and practical applications of machine learning within the Subsurface. Date And Time Tue, March 31, 2020 8:00 AM – 4:30 PM CDT Location Aramco Services Company 1200 Smith Street Houston, TX 77002 View Map The purpose of this...
1 70
by  Patrick NgJump to last post
15 Apr 2020 10:58 AM
You are not authorized to create a new topic
Page 1 of 1412345 > >>

RSS Feed Available


Andrew Munoz Ensign Natural Resources
Patrick Ng Real Core Energy

Headquarters Contacts

Susan Nash Director, Innovation and Emerging Science and Technology AAPG