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A simple, but neat helper for coding: ML gives idiomatic usage patterns to semi-automate the daily development work.

Machine learning to write better machine learning code...count me in haha

This is a social sciences paper trying to make use of ML. Quote from text: "Social scientists studying the life course must find a way to reconcile a widespread belief that understanding has been generated by these data-as demonstrated by more than 750 published journal articles using the Fragile Families data (10)-with the fact that the very same data could not yield accurate predictions of these important outcomes." "(...) In other words, the submissions were much better at predicting each other than at predicting the truth."

an important message to learn from

Old post from Luis brought back from graveyard..... At least two good ideas to put there: 1) tipping points prediction 2) planetary phases for trajectory transfer and probably many more if we think about it a bit more

Deconvnets for astro images .... resolving galxies :)

beautiful! anybody knows of similar trials to fool EO data classifiers?

I am not aware of any similar trials, yet this study remind me of generative adversarial talking heads https://arxiv.org/pdf/1803.07716.pdf https://www.youtube.com/watch?v=p1b5aiTrGzY

If you have 45 minutes and you want to learn a bit about inverse design of metasurfaces using machine learning, then I would highly recommend this talk. I found it very easy to follow both the physics and machine learning parts of it.