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0 Replies and 955 Views Something for Everyone  955  0 Started by  Patrick Ng For those who got flooded by Harvey or from “control release”, our thoughts and prayers are with you. As I was stuck at the house when Harvey was pouring down 51 inches of rain, surrounded by flooded streets and freeways, I thought about what would make this blog relevant to our members. I recall: a) the first time many machine and deep learning jargons appear daunting, b) after internal translation of machine learning speak to G&G experience, I can relate to much better. So here are three ...
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05 Sep 2017 11:07 PM
0 Replies and 733 Views Deep Learning online from one of the best teachers  733  0 Started by  Patrick Ng While AI / Deep Learning appears daunting, a new online course by Prof Andrew Ng may just be a good starting point. It will cover TensorFlow. For more detailed information, see https://techcrunch.com/2017/08/08/deeplearning-ai-is-andrew-ngs-new-series-of-deep-learning-classes-on-coursera/
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11 Aug 2017 12:30 AM
1 Replies and 886 Views Different Approach with a Common Thread - Use of First Principle  886  1 Started by  Patrick Ng Two articles illustrate with examples of creating tangible value: 1) DNN - https://www.onepetro.org/conference-paper/SPE-174799-MS 2) Multivariate - https://info.drillinginfo.com/machine-learning-in-oil-and-gas/ Food for thought - with infusion of G&G, learning with machine beats machine modeling alone
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by  Patrick NgJump to last post
02 Aug 2017 02:46 PM
1 Replies and 1134 Views May 22, 2017 Workshop Follow-up - Mining Big Data  1134  1 Started by  Patrick Ng Recall in Deborah Sacrey's presentation, neural network was able to seek out features from 2-ms data, but not 4-ms, when 2-ms is resampled from 4-ms data. For some, that was puzzling. Q1: is such observation common, and if so, is there a simple explanation Q2: what is the implication on Deep Learning and sampling rate Thanks in advance.
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by  Deborah K. SacreyJump to last post
27 Jun 2017 05:20 PM
0 Replies and 710 Views Getting Started  710  0 Started by  Patrick Ng Breakthrough Big Data and Deep Learning in Today's Oil Industry: Interview with Kamal Hami-Eddine, 18 January, 2017 http://www.aapg.org/publications/blogs/learn/article/Articleid/37297/breakthrough-big-data-and-deep-learning-in-todays-oil-industry-interview-with-kamal-hami-eddine
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12 May 2017 09:28 PM
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