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 161 Views AlphaFold 2.0  161  0 Started by  Andrew Munoz DeepMind has made some major upgrades to AlphaFold because they are now able to successfully predict protein folding. This is going to be a major leap for using predictive analytics for disease research. I think it's great for everyone to know and understand leaps in deep learning in all fields. Naser Tamini has a great Medium article simplifying the result and explaining the solution: https://tamimi-naser.medium.com/unfolding-alphafold-683d576a54a3 I hope you enjoy! Andrew
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03 Dec 2020 06:05 PM
0 Replies and 178 Views Highlights on Tackle the Issues - Where should Machine Learning go (and not go)?  178  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 131 Views Business Acumen, Soft Skills and Machine Learning  131  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 181 Views Virtual Hackathon with Real Data  181  0 Started by  Patrick Ng Check this out https://www.theogtc.com/events/code-less/
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04 Aug 2020 04:03 PM
0 Replies and 120 Views DeepSeismic - step by step Deep Learning for seismic data  120  0 Started by  Patrick Ng https://github.com/microsoft/seismic-deeplearning 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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