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
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0 Replies and 341 Views Read This First!      341  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...
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09 May 2017 03:37 PM
0 Replies and 79 Views Highlights on Tackle the Issues - Where should Machine Learning go (and not go)?  79  0 Started by  Patrick Ng Observations - Dr. Lian and speaker Ball showed in examples simple architecture, random forest (RF) and support vector machine (SVM) work well in many cases (some as good as deep learning models). Q1: what does that tell us about ML model - simplicity vs complexity, and the direction Recap - much has to do with data / sampling. If we have lots of data, deep learning will do well. When we have limited data, RF and SVM may perform better (in supervised and unsupervis...
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02 Oct 2020 05:21 PM
0 Replies and 47 Views Business Acumen, Soft Skills and Machine Learning  47  0 Started by  Patrick Ng In the opening Michel T. Halbouty Lecture: Business Acumen and Soft Skills in an Everchanging Exploration World Day: Duval talked about “soft skills” now considered all the more important since the “engineering” preparation of a prospective deal and the related technologies are and will be more and more dependent on data analytics, advanced approaches involving AI, machine learning, etc. Takeaway - two ML questions were raised in Chat, worthy of recap here. Q1: if you have physics based mo...
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02 Oct 2020 01:53 PM
0 Replies and 101 Views Virtual Hackathon with Real Data  101  0 Started by  Patrick Ng Check this out
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04 Aug 2020 04:03 PM
0 Replies and 72 Views DeepSeismic - step by step Deep Learning for seismic data  72  0 Started by  Patrick Ng Note - while the example is based on Microsoft Azure, the general principle also applies to GCP and AWS in terms of using TensorFlow-TensorBoard to QC intermediate results.
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27 Jul 2020 07:17 PM
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